1324 lines
40 KiB
C++
1324 lines
40 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef __CVVIDEOSURVEILLANCE_H__
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#define __CVVIDEOSURVEILLANCE_H__
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/* Turn off the functionality until cvaux/src/Makefile.am gets updated: */
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//#if _MSC_VER >= 1200
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#include <stdio.h>
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#if _MSC_VER >= 1200 || defined __BORLANDC__
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#define cv_stricmp stricmp
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#define cv_strnicmp strnicmp
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#elif defined __GNUC__
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#define cv_stricmp strcasecmp
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#define cv_strnicmp strncasecmp
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#else
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#error Do not know how to make case-insensitive string comparison on this platform
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#endif
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//struct DefParam;
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struct CvDefParam
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{
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struct CvDefParam* next;
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char* pName;
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char* pComment;
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double* pDouble;
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double Double;
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float* pFloat;
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float Float;
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int* pInt;
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int Int;
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char** pStr;
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char* Str;
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};
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class CV_EXPORTS CvVSModule
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{
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private: /* Internal data: */
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CvDefParam* m_pParamList;
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char* m_pModuleTypeName;
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char* m_pModuleName;
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char* m_pNickName;
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protected:
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int m_Wnd;
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public: /* Constructor and destructor: */
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CvVSModule()
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{
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m_pNickName = NULL;
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m_pParamList = NULL;
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m_pModuleTypeName = NULL;
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m_pModuleName = NULL;
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m_Wnd = 0;
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AddParam("DebugWnd",&m_Wnd);
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}
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virtual ~CvVSModule()
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{
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CvDefParam* p = m_pParamList;
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for(;p;)
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{
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CvDefParam* pf = p;
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p=p->next;
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FreeParam(&pf);
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}
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m_pParamList=NULL;
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if(m_pModuleTypeName)free(m_pModuleTypeName);
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if(m_pModuleName)free(m_pModuleName);
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}
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private: /* Internal functions: */
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void FreeParam(CvDefParam** pp)
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{
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CvDefParam* p = pp[0];
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if(p->Str)free(p->Str);
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if(p->pName)free(p->pName);
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if(p->pComment)free(p->pComment);
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cvFree((void**)pp);
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}
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CvDefParam* NewParam(const char* name)
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{
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CvDefParam* pNew = (CvDefParam*)cvAlloc(sizeof(CvDefParam));
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memset(pNew,0,sizeof(CvDefParam));
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pNew->pName = strdup(name);
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if(m_pParamList==NULL)
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{
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m_pParamList = pNew;
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}
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else
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{
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CvDefParam* p = m_pParamList;
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for(;p->next;p=p->next);
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p->next = pNew;
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}
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return pNew;
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};
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CvDefParam* GetParamPtr(int index)
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{
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CvDefParam* p = m_pParamList;
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for(;index>0 && p;index--,p=p->next);
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return p;
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}
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CvDefParam* GetParamPtr(const char* name)
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{
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CvDefParam* p = m_pParamList;
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for(;p;p=p->next)
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{
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if(cv_stricmp(p->pName,name)==0) break;
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}
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return p;
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}
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protected: /* INTERNAL INTERFACE */
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int IsParam(const char* name)
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{
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return GetParamPtr(name)?1:0;
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};
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void AddParam(const char* name, double* pAddr)
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{
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NewParam(name)->pDouble = pAddr;
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};
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void AddParam(const char* name, float* pAddr)
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{
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NewParam(name)->pFloat=pAddr;
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};
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void AddParam(const char* name, int* pAddr)
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{
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NewParam(name)->pInt=pAddr;
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};
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void AddParam(const char* name, char** pAddr)
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{
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CvDefParam* pP = NewParam(name);
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char* p = pAddr?pAddr[0]:NULL;
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pP->pStr = pAddr?pAddr:&(pP->Str);
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if(p)
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{
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pP->Str = strdup(p);
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pP->pStr[0] = pP->Str;
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}
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};
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void AddParam(const char* name)
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{
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CvDefParam* p = NewParam(name);
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p->pDouble = &p->Double;
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};
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void CommentParam(const char* name, const char* pComment)
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{
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CvDefParam* p = GetParamPtr(name);
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if(p)p->pComment = pComment ? strdup(pComment) : 0;
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};
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void SetTypeName(const char* name){m_pModuleTypeName = strdup(name);}
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void SetModuleName(const char* name){m_pModuleName = strdup(name);}
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void DelParam(const char* name)
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{
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CvDefParam* p = m_pParamList;
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CvDefParam* pPrev = NULL;
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for(;p;p=p->next)
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{
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if(cv_stricmp(p->pName,name)==0) break;
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pPrev = p;
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}
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if(p)
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{
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if(pPrev)
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{
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pPrev->next = p->next;
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}
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else
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{
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m_pParamList = p->next;
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}
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FreeParam(&p);
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}
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}/* DelParam */
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public: /* EXTERNAL INTERFACE */
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char* GetParamName(int index)
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{
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CvDefParam* p = GetParamPtr(index);
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return p?p->pName:NULL;
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}
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char* GetParamComment(const char* name)
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{
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CvDefParam* p = GetParamPtr(name);
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if(p && p->pComment) return p->pComment;
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return NULL;
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}
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double GetParam(const char* name)
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{
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CvDefParam* p = GetParamPtr(name);
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if(p)
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{
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if(p->pDouble) return p->pDouble[0];
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if(p->pFloat) return p->pFloat[0];
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if(p->pInt) return p->pInt[0];
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}
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return 0;
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};
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const char* GetParamStr(const char* name)
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{
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CvDefParam* p = GetParamPtr(name);
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return p?p->Str:NULL;
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}
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void SetParam(const char* name, double val)
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{
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CvDefParam* p = m_pParamList;
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for(;p;p=p->next)
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{
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if(cv_stricmp(p->pName,name) != 0) continue;
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if(p->pDouble)p->pDouble[0] = val;
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if(p->pFloat)p->pFloat[0] = (float)val;
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if(p->pInt)p->pInt[0] = cvRound(val);
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}
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}
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void SetParamStr(const char* name, const char* str)
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{
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CvDefParam* p = m_pParamList;
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for(; p; p=p->next)
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{
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if(cv_stricmp(p->pName,name) != 0) continue;
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if(p->pStr)
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{
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if(p->Str)free(p->Str);
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p->Str = NULL;
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if(str)p->Str = strdup(str);
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p->pStr[0] = p->Str;
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}
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}
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/* Convert to double and set: */
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if(str) SetParam(name,atof(str));
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}
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void TransferParamsFromChild(CvVSModule* pM, char* prefix = NULL)
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{
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char tmp[1024];
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char* FN = NULL;
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int i;
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for(i=0;;++i)
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{
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char* N = pM->GetParamName(i);
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if(N == NULL) break;
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FN = N;
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if(prefix)
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{
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strcpy(tmp,prefix);
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strcat(tmp,"_");
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FN = strcat(tmp,N);
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}
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if(!IsParam(FN))
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{
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if(pM->GetParamStr(N))
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{
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AddParam(FN,(char**)NULL);
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}
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else
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{
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AddParam(FN);
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}
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}
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if(pM->GetParamStr(N))
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{
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const char* val = pM->GetParamStr(N);
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SetParamStr(FN,val);
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}
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else
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{
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double val = pM->GetParam(N);
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SetParam(FN,val);
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}
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CommentParam(FN, pM->GetParamComment(N));
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}/* transfer next param */
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}/* Transfer params */
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void TransferParamsToChild(CvVSModule* pM, char* prefix = NULL)
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{
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char tmp[1024];
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int i;
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for(i=0;;++i)
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{
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char* N = pM->GetParamName(i);
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if(N == NULL) break;
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if(prefix)
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{
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strcpy(tmp,prefix);
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strcat(tmp,"_");
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strcat(tmp,N);
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}
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else
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{
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strcpy(tmp,N);
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}
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if(IsParam(tmp))
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{
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if(GetParamStr(tmp))
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pM->SetParamStr(N,GetParamStr(tmp));
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else
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pM->SetParam(N,GetParam(tmp));
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}
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}/* Transfer next parameter */
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pM->ParamUpdate();
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}/* Transfer params */
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virtual void ParamUpdate(){};
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const char* GetTypeName()
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{
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return m_pModuleTypeName;
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}
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int IsModuleTypeName(const char* name)
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{
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return m_pModuleTypeName?(cv_stricmp(m_pModuleTypeName,name)==0):0;
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}
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char* GetModuleName()
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{
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return m_pModuleName;
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}
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int IsModuleName(const char* name)
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{
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return m_pModuleName?(cv_stricmp(m_pModuleName,name)==0):0;
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}
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void SetNickName(const char* pStr)
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{
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if(m_pNickName)
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free(m_pNickName);
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m_pNickName = NULL;
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if(pStr)
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m_pNickName = strdup(pStr);
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}
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const char* GetNickName()
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{
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return m_pNickName ? m_pNickName : "unknown";
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}
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virtual void SaveState(CvFileStorage*){};
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virtual void LoadState(CvFileStorage*, CvFileNode*){};
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virtual void Release() = 0;
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};/* CvVMModule */
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void inline cvWriteStruct(CvFileStorage* fs, const char* name, void* addr, char* desc, int num=1)
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{
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cvStartWriteStruct(fs,name,CV_NODE_SEQ|CV_NODE_FLOW);
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cvWriteRawData(fs,addr,num,desc);
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cvEndWriteStruct(fs);
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}
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void inline cvReadStructByName(CvFileStorage* fs, CvFileNode* node, const char* name, void* addr, char* desc)
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{
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CvFileNode* pSeqNode = cvGetFileNodeByName(fs, node, name);
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if(pSeqNode==NULL)
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{
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printf("WARNING!!! Can't read structure %s\n",name);
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}
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else
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{
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if(CV_NODE_IS_SEQ(pSeqNode->tag))
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{
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cvReadRawData( fs, pSeqNode, addr, desc );
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}
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else
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{
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printf("WARNING!!! Structure %s is not sequence and can not be read\n",name);
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}
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}
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}
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/* FOREGROUND DETECTOR INTERFACE */
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class CV_EXPORTS CvFGDetector: public CvVSModule
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{
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public:
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virtual IplImage* GetMask() = 0;
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/* Process current image: */
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virtual void Process(IplImage* pImg) = 0;
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/* Release foreground detector: */
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virtual void Release() = 0;
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};
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inline void cvReleaseFGDetector(CvFGDetector** ppT )
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{
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ppT[0]->Release();
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ppT[0] = 0;
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}
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/* FOREGROUND DETECTOR INTERFACE */
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CV_EXPORTS CvFGDetector* cvCreateFGDetectorBase(int type, void *param);
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/* BLOB STRUCTURE*/
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struct CvBlob
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{
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float x,y; /* blob position */
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float w,h; /* blob sizes */
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int ID; /* blob ID */
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};
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inline CvBlob cvBlob(float x,float y, float w, float h)
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{
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CvBlob B = {x,y,w,h,0};
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return B;
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}
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#define CV_BLOB_MINW 5
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#define CV_BLOB_MINH 5
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#define CV_BLOB_ID(pB) (((CvBlob*)(pB))->ID)
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#define CV_BLOB_CENTER(pB) cvPoint2D32f(((CvBlob*)(pB))->x,((CvBlob*)(pB))->y)
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#define CV_BLOB_X(pB) (((CvBlob*)(pB))->x)
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#define CV_BLOB_Y(pB) (((CvBlob*)(pB))->y)
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#define CV_BLOB_WX(pB) (((CvBlob*)(pB))->w)
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#define CV_BLOB_WY(pB) (((CvBlob*)(pB))->h)
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#define CV_BLOB_RX(pB) (0.5f*CV_BLOB_WX(pB))
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#define CV_BLOB_RY(pB) (0.5f*CV_BLOB_WY(pB))
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#define CV_BLOB_RECT(pB) cvRect(cvRound(((CvBlob*)(pB))->x-CV_BLOB_RX(pB)),cvRound(((CvBlob*)(pB))->y-CV_BLOB_RY(pB)),cvRound(CV_BLOB_WX(pB)),cvRound(CV_BLOB_WY(pB)))
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/* END BLOB STRUCTURE*/
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/* simple BLOBLIST */
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class CV_EXPORTS CvBlobSeq
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{
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public:
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CvBlobSeq(int BlobSize = sizeof(CvBlob))
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{
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m_pMem = cvCreateMemStorage();
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m_pSeq = cvCreateSeq(0,sizeof(CvSeq),BlobSize,m_pMem);
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strcpy(m_pElemFormat,"ffffi");
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}
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virtual ~CvBlobSeq()
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{
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cvReleaseMemStorage(&m_pMem);
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};
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virtual CvBlob* GetBlob(int BlobIndex)
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{
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return (CvBlob*)cvGetSeqElem(m_pSeq,BlobIndex);
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};
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virtual CvBlob* GetBlobByID(int BlobID)
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{
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int i;
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for(i=0; i<m_pSeq->total; ++i)
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if(BlobID == CV_BLOB_ID(GetBlob(i)))
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return GetBlob(i);
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return NULL;
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};
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virtual void DelBlob(int BlobIndex)
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{
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cvSeqRemove(m_pSeq,BlobIndex);
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};
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virtual void DelBlobByID(int BlobID)
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{
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int i;
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for(i=0; i<m_pSeq->total; ++i)
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{
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if(BlobID == CV_BLOB_ID(GetBlob(i)))
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{
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DelBlob(i);
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return;
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}
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}
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};
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virtual void Clear()
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{
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cvClearSeq(m_pSeq);
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};
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virtual void AddBlob(CvBlob* pB)
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{
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cvSeqPush(m_pSeq,pB);
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};
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virtual int GetBlobNum()
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{
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return m_pSeq->total;
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};
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virtual void Write(CvFileStorage* fs, const char* name)
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{
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const char* attr[] = {"dt",m_pElemFormat,NULL};
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if(fs)
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{
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cvWrite(fs,name,m_pSeq,cvAttrList(attr,NULL));
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}
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}
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virtual void Load(CvFileStorage* fs, CvFileNode* node)
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{
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if(fs==NULL) return;
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CvSeq* pSeq = (CvSeq*)cvRead(fs, node);
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if(pSeq)
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{
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int i;
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cvClearSeq(m_pSeq);
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for(i=0;i<pSeq->total;++i)
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{
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void* pB = cvGetSeqElem( pSeq, i );
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cvSeqPush( m_pSeq, pB );
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}
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}
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}
|
|
void AddFormat(char* str){strcat(m_pElemFormat,str);}
|
|
protected:
|
|
CvMemStorage* m_pMem;
|
|
CvSeq* m_pSeq;
|
|
char m_pElemFormat[1024];
|
|
};
|
|
/* simple BLOBLIST */
|
|
|
|
|
|
/* simple TRACKLIST */
|
|
struct CvBlobTrack
|
|
{
|
|
int TrackID;
|
|
int StartFrame;
|
|
CvBlobSeq* pBlobSeq;
|
|
};
|
|
|
|
class CV_EXPORTS CvBlobTrackSeq
|
|
{
|
|
public:
|
|
CvBlobTrackSeq(int TrackSize = sizeof(CvBlobTrack))
|
|
{
|
|
m_pMem = cvCreateMemStorage();
|
|
m_pSeq = cvCreateSeq(0,sizeof(CvSeq),TrackSize,m_pMem);
|
|
}
|
|
virtual ~CvBlobTrackSeq()
|
|
{
|
|
Clear();
|
|
cvReleaseMemStorage(&m_pMem);
|
|
};
|
|
virtual CvBlobTrack* GetBlobTrack(int TrackIndex)
|
|
{
|
|
return (CvBlobTrack*)cvGetSeqElem(m_pSeq,TrackIndex);
|
|
};
|
|
virtual CvBlobTrack* GetBlobTrackByID(int TrackID)
|
|
{
|
|
int i;
|
|
for(i=0; i<m_pSeq->total; ++i)
|
|
{
|
|
CvBlobTrack* pP = GetBlobTrack(i);
|
|
if(pP && pP->TrackID == TrackID)
|
|
return pP;
|
|
}
|
|
return NULL;
|
|
};
|
|
virtual void DelBlobTrack(int TrackIndex)
|
|
{
|
|
CvBlobTrack* pP = GetBlobTrack(TrackIndex);
|
|
if(pP && pP->pBlobSeq) delete pP->pBlobSeq;
|
|
cvSeqRemove(m_pSeq,TrackIndex);
|
|
};
|
|
virtual void DelBlobTrackByID(int TrackID)
|
|
{
|
|
int i;
|
|
for(i=0; i<m_pSeq->total; ++i)
|
|
{
|
|
CvBlobTrack* pP = GetBlobTrack(i);
|
|
if(TrackID == pP->TrackID)
|
|
{
|
|
DelBlobTrack(i);
|
|
return;
|
|
}
|
|
}
|
|
};
|
|
virtual void Clear()
|
|
{
|
|
int i;
|
|
for(i=GetBlobTrackNum();i>0;i--)
|
|
{
|
|
DelBlobTrack(i-1);
|
|
}
|
|
cvClearSeq(m_pSeq);
|
|
};
|
|
virtual void AddBlobTrack(int TrackID, int StartFrame = 0)
|
|
{
|
|
CvBlobTrack N;
|
|
N.TrackID = TrackID;
|
|
N.StartFrame = StartFrame;
|
|
N.pBlobSeq = new CvBlobSeq;
|
|
cvSeqPush(m_pSeq,&N);
|
|
};
|
|
virtual int GetBlobTrackNum()
|
|
{
|
|
return m_pSeq->total;
|
|
};
|
|
protected:
|
|
CvMemStorage* m_pMem;
|
|
CvSeq* m_pSeq;
|
|
};
|
|
|
|
/* simple TRACKLIST */
|
|
|
|
|
|
/* BLOB DETECTOR INTERFACE */
|
|
class CV_EXPORTS CvBlobDetector: public CvVSModule
|
|
{
|
|
public:
|
|
/* Try to detect new blob entrance based on foreground mask. */
|
|
/* pFGMask - image of foreground mask */
|
|
/* pNewBlob - pointer to CvBlob structure which will be filled if new blob entrance detected */
|
|
/* pOldBlobList - pointer to blob list which already exist on image */
|
|
virtual int DetectNewBlob(IplImage* pImg, IplImage* pImgFG, CvBlobSeq* pNewBlobList, CvBlobSeq* pOldBlobList) = 0;
|
|
/* release blob detector */
|
|
virtual void Release()=0;
|
|
};
|
|
/* Release any blob detector: */
|
|
inline void cvReleaseBlobDetector(CvBlobDetector** ppBD)
|
|
{
|
|
ppBD[0]->Release();
|
|
ppBD[0] = NULL;
|
|
}
|
|
/* END BLOB DETECTOR INTERFACE */
|
|
|
|
/* Declarations of constructors of implemented modules: */
|
|
CV_EXPORTS CvBlobDetector* cvCreateBlobDetectorSimple();
|
|
CV_EXPORTS CvBlobDetector* cvCreateBlobDetectorCC();
|
|
|
|
|
|
struct CV_EXPORTS CvDetectedBlob : public CvBlob
|
|
{
|
|
float response;
|
|
};
|
|
|
|
CV_INLINE CvDetectedBlob cvDetectedBlob( float x, float y, float w, float h, int ID = 0, float response = 0.0F )
|
|
{
|
|
CvDetectedBlob b;
|
|
b.x = x; b.y = y; b.w = w; b.h = h; b.ID = ID; b.response = response;
|
|
return b;
|
|
}
|
|
|
|
|
|
class CV_EXPORTS CvObjectDetector
|
|
{
|
|
public:
|
|
CvObjectDetector( const char* /*detector_file_name*/ = 0 ) {};
|
|
|
|
~CvObjectDetector() {};
|
|
|
|
/*
|
|
* Release the current detector and load new detector from file
|
|
* (if detector_file_name is not 0)
|
|
* Return true on success:
|
|
*/
|
|
bool Load( const char* /*detector_file_name*/ = 0 ) { return false; }
|
|
|
|
/* Return min detector window size: */
|
|
CvSize GetMinWindowSize() const { return cvSize(0,0); }
|
|
|
|
/* Return max border: */
|
|
int GetMaxBorderSize() const { return 0; }
|
|
|
|
/*
|
|
* Detect the object on the image and push the detected
|
|
* blobs into <detected_blob_seq> which must be the sequence of <CvDetectedBlob>s
|
|
*/
|
|
void Detect( const CvArr* /*img*/, /* out */ CvBlobSeq* /*detected_blob_seq*/ = 0 ) {};
|
|
|
|
protected:
|
|
class CvObjectDetectorImpl* impl;
|
|
};
|
|
|
|
|
|
CV_INLINE CvRect cvRectIntersection( const CvRect r1, const CvRect r2 )
|
|
{
|
|
CvRect r = cvRect( MAX(r1.x, r2.x), MAX(r1.y, r2.y), 0, 0 );
|
|
|
|
r.width = MIN(r1.x + r1.width, r2.x + r2.width) - r.x;
|
|
r.height = MIN(r1.y + r1.height, r2.y + r2.height) - r.y;
|
|
|
|
return r;
|
|
}
|
|
|
|
|
|
/*
|
|
* CvImageDrawer
|
|
*
|
|
* Draw on an image the specified ROIs from the source image and
|
|
* given blobs as ellipses or rectangles:
|
|
*/
|
|
|
|
struct CvDrawShape
|
|
{
|
|
enum {RECT, ELLIPSE} shape;
|
|
CvScalar color;
|
|
};
|
|
|
|
/*extern const CvDrawShape icv_shape[] =
|
|
{
|
|
{ CvDrawShape::ELLIPSE, CV_RGB(255,0,0) },
|
|
{ CvDrawShape::ELLIPSE, CV_RGB(0,255,0) },
|
|
{ CvDrawShape::ELLIPSE, CV_RGB(0,0,255) },
|
|
{ CvDrawShape::ELLIPSE, CV_RGB(255,255,0) },
|
|
{ CvDrawShape::ELLIPSE, CV_RGB(0,255,255) },
|
|
{ CvDrawShape::ELLIPSE, CV_RGB(255,0,255) }
|
|
};*/
|
|
|
|
class CV_EXPORTS CvImageDrawer
|
|
{
|
|
public:
|
|
CvImageDrawer() : m_image(0) {}
|
|
~CvImageDrawer() { cvReleaseImage( &m_image ); }
|
|
void SetShapes( const CvDrawShape* shapes, int num );
|
|
/* <blob_seq> must be the sequence of <CvDetectedBlob>s */
|
|
IplImage* Draw( const CvArr* src, CvBlobSeq* blob_seq = 0, const CvSeq* roi_seq = 0 );
|
|
IplImage* GetImage() { return m_image; }
|
|
protected:
|
|
//static const int MAX_SHAPES = sizeof(icv_shape) / sizeof(icv_shape[0]);;
|
|
|
|
IplImage* m_image;
|
|
CvDrawShape m_shape[16];
|
|
};
|
|
|
|
|
|
|
|
/* Trajectory generation module: */
|
|
class CV_EXPORTS CvBlobTrackGen: public CvVSModule
|
|
{
|
|
public:
|
|
virtual void SetFileName(char* pFileName) = 0;
|
|
virtual void AddBlob(CvBlob* pBlob) = 0;
|
|
virtual void Process(IplImage* pImg = NULL, IplImage* pFG = NULL) = 0;
|
|
virtual void Release() = 0;
|
|
};
|
|
|
|
inline void cvReleaseBlobTrackGen(CvBlobTrackGen** pBTGen)
|
|
{
|
|
if(*pBTGen)(*pBTGen)->Release();
|
|
*pBTGen = 0;
|
|
}
|
|
|
|
/* Declarations of constructors of implemented modules: */
|
|
CV_EXPORTS CvBlobTrackGen* cvCreateModuleBlobTrackGen1();
|
|
CV_EXPORTS CvBlobTrackGen* cvCreateModuleBlobTrackGenYML();
|
|
|
|
|
|
|
|
/* BLOB TRACKER INTERFACE */
|
|
class CV_EXPORTS CvBlobTracker: public CvVSModule
|
|
{
|
|
public:
|
|
CvBlobTracker(){SetTypeName("BlobTracker");};
|
|
|
|
/* Add new blob to track it and assign to this blob personal ID */
|
|
/* pBlob - pointer to structure with blob parameters (ID is ignored)*/
|
|
/* pImg - current image */
|
|
/* pImgFG - current foreground mask */
|
|
/* Return pointer to new added blob: */
|
|
virtual CvBlob* AddBlob(CvBlob* pBlob, IplImage* pImg, IplImage* pImgFG = NULL ) = 0;
|
|
|
|
/* Return number of currently tracked blobs: */
|
|
virtual int GetBlobNum() = 0;
|
|
|
|
/* Return pointer to specified by index blob: */
|
|
virtual CvBlob* GetBlob(int BlobIndex) = 0;
|
|
|
|
/* Delete blob by its index: */
|
|
virtual void DelBlob(int BlobIndex) = 0;
|
|
|
|
/* Process current image and track all existed blobs: */
|
|
virtual void Process(IplImage* pImg, IplImage* pImgFG = NULL) = 0;
|
|
|
|
/* Release blob tracker: */
|
|
virtual void Release() = 0;
|
|
|
|
|
|
/* Process one blob (for multi hypothesis tracing): */
|
|
virtual void ProcessBlob(int BlobIndex, CvBlob* pBlob, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL)
|
|
{
|
|
CvBlob* pB;
|
|
int ID = 0;
|
|
assert(pBlob);
|
|
//pBlob->ID;
|
|
pB = GetBlob(BlobIndex);
|
|
if(pB)
|
|
pBlob[0] = pB[0];
|
|
pBlob->ID = ID;
|
|
};
|
|
|
|
/* Get confidence/wieght/probability (0-1) for blob: */
|
|
virtual double GetConfidence(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL)
|
|
{
|
|
return 1;
|
|
};
|
|
|
|
virtual double GetConfidenceList(CvBlobSeq* pBlobList, IplImage* pImg, IplImage* pImgFG = NULL)
|
|
{
|
|
int b,bN = pBlobList->GetBlobNum();
|
|
double W = 1;
|
|
for(b=0;b<bN;++b)
|
|
{
|
|
CvBlob* pB = pBlobList->GetBlob(b);
|
|
int BI = GetBlobIndexByID(pB->ID);
|
|
W *= GetConfidence(BI,pB,pImg,pImgFG);
|
|
}
|
|
return W;
|
|
};
|
|
|
|
virtual void UpdateBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL){};
|
|
|
|
/* Update all blob models: */
|
|
virtual void Update(IplImage* pImg, IplImage* pImgFG = NULL)
|
|
{
|
|
int i;
|
|
for(i=GetBlobNum();i>0;i--)
|
|
{
|
|
CvBlob* pB=GetBlob(i-1);
|
|
UpdateBlob(i-1, pB, pImg, pImgFG);
|
|
}
|
|
|
|
};
|
|
|
|
/* Return pointer to blob by its unique ID: */
|
|
virtual int GetBlobIndexByID(int BlobID)
|
|
{
|
|
int i;
|
|
for(i=GetBlobNum();i>0;i--)
|
|
{
|
|
CvBlob* pB=GetBlob(i-1);
|
|
if(CV_BLOB_ID(pB) == BlobID) return i-1;
|
|
}
|
|
return -1;
|
|
};
|
|
|
|
/* Return pointer to blob by its unique ID: */
|
|
virtual CvBlob* GetBlobByID(int BlobID){return GetBlob(GetBlobIndexByID(BlobID));};
|
|
|
|
/* Delete blob by its ID: */
|
|
virtual void DelBlobByID(int BlobID){DelBlob(GetBlobIndexByID(BlobID));};
|
|
|
|
/* Set new parameters for specified (by index) blob: */
|
|
virtual void SetBlob(int /*BlobIndex*/, CvBlob* /*pBlob*/){};
|
|
|
|
/* Set new parameters for specified (by ID) blob: */
|
|
virtual void SetBlobByID(int BlobID, CvBlob* pBlob)
|
|
{
|
|
SetBlob(GetBlobIndexByID(BlobID),pBlob);
|
|
};
|
|
|
|
/* =============== MULTI HYPOTHESIS INTERFACE ================== */
|
|
|
|
/* Return number of position hyposetis of currently tracked blob: */
|
|
virtual int GetBlobHypNum(int /*BlobIdx*/){return 1;};
|
|
|
|
/* Return pointer to specified blob hypothesis by index blob: */
|
|
virtual CvBlob* GetBlobHyp(int BlobIndex, int /*hypothesis*/){return GetBlob(BlobIndex);};
|
|
|
|
/* Set new parameters for specified (by index) blob hyp
|
|
* (can be called several times for each hyp ):
|
|
*/
|
|
virtual void SetBlobHyp(int /*BlobIndex*/, CvBlob* /*pBlob*/){};
|
|
};
|
|
inline void cvReleaseBlobTracker(CvBlobTracker**ppT )
|
|
{
|
|
ppT[0]->Release();
|
|
ppT[0] = 0;
|
|
}
|
|
/* BLOB TRACKER INTERFACE */
|
|
|
|
/*BLOB TRACKER ONE INTERFACE */
|
|
class CV_EXPORTS CvBlobTrackerOne:public CvVSModule
|
|
{
|
|
public:
|
|
virtual void Init(CvBlob* pBlobInit, IplImage* pImg, IplImage* pImgFG = NULL) = 0;
|
|
virtual CvBlob* Process(CvBlob* pBlobPrev, IplImage* pImg, IplImage* pImgFG = NULL) = 0;
|
|
virtual void Release() = 0;
|
|
|
|
/* Non-required methods: */
|
|
virtual void SkipProcess(CvBlob* /*pBlobPrev*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL){};
|
|
virtual void Update(CvBlob* /*pBlob*/, IplImage* /*pImg*/, IplImage* /*pImgFG*/ = NULL){};
|
|
virtual void SetCollision(int /*CollisionFlag*/){}; /* call in case of blob collision situation*/
|
|
virtual double GetConfidence(CvBlob* /*pBlob*/, IplImage* /*pImg*/,
|
|
IplImage* /*pImgFG*/ = NULL, IplImage* /*pImgUnusedReg*/ = NULL)
|
|
{
|
|
return 1;
|
|
};
|
|
};
|
|
inline void cvReleaseBlobTrackerOne(CvBlobTrackerOne **ppT )
|
|
{
|
|
ppT[0]->Release();
|
|
ppT[0] = 0;
|
|
}
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerList(CvBlobTrackerOne* (*create)());
|
|
/*BLOB TRACKER ONE INTERFACE */
|
|
|
|
/* Declarations of constructors of implemented modules: */
|
|
|
|
/* Some declarations for specific MeanShift tracker: */
|
|
#define PROFILE_EPANECHNIKOV 0
|
|
#define PROFILE_DOG 1
|
|
struct CvBlobTrackerParamMS
|
|
{
|
|
int noOfSigBits;
|
|
int appearance_profile;
|
|
int meanshift_profile;
|
|
float sigma;
|
|
};
|
|
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS1(CvBlobTrackerParamMS* param);
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS2(CvBlobTrackerParamMS* param);
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS1ByList();
|
|
|
|
/* Some declarations for specific Likelihood tracker: */
|
|
struct CvBlobTrackerParamLH
|
|
{
|
|
int HistType; /* see Prob.h */
|
|
int ScaleAfter;
|
|
};
|
|
|
|
/* Without scale optimization: */
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerLHR(CvBlobTrackerParamLH* /*param*/ = NULL);
|
|
|
|
/* With scale optimization: */
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerLHRS(CvBlobTrackerParamLH* /*param*/ = NULL);
|
|
|
|
/* Simple blob tracker based on connected component tracking: */
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerCC();
|
|
|
|
/* Connected component tracking and mean-shift particle filter collion-resolver: */
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerCCMSPF();
|
|
|
|
/* Blob tracker that integrates meanshift and connected components: */
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMSFG();
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMSFGS();
|
|
|
|
/* Meanshift without connected-components */
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMS();
|
|
|
|
/* Particle filtering via Bhattacharya coefficient, which */
|
|
/* is roughly the dot-product of two probability densities. */
|
|
/* See: Real-Time Tracking of Non-Rigid Objects using Mean Shift */
|
|
/* Comanicius, Ramesh, Meer, 2000, 8p */
|
|
/* http://citeseer.ist.psu.edu/321441.html */
|
|
CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerMSPF();
|
|
|
|
/* =========== tracker integrators trackers =============*/
|
|
|
|
/* Integrator based on Particle Filtering method: */
|
|
//CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIPF();
|
|
|
|
/* Rule based integrator: */
|
|
//CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIRB();
|
|
|
|
/* Integrator based on data fusion using particle filtering: */
|
|
//CV_EXPORTS CvBlobTracker* cvCreateBlobTrackerIPFDF();
|
|
|
|
|
|
|
|
|
|
/* Trajectory postprocessing module: */
|
|
class CV_EXPORTS CvBlobTrackPostProc: public CvVSModule
|
|
{
|
|
public:
|
|
virtual void AddBlob(CvBlob* pBlob) = 0;
|
|
virtual void Process() = 0;
|
|
virtual int GetBlobNum() = 0;
|
|
virtual CvBlob* GetBlob(int index) = 0;
|
|
virtual void Release() = 0;
|
|
|
|
/* Additional functionality: */
|
|
virtual CvBlob* GetBlobByID(int BlobID)
|
|
{
|
|
int i;
|
|
for(i=GetBlobNum();i>0;i--)
|
|
{
|
|
CvBlob* pB=GetBlob(i-1);
|
|
if(pB->ID==BlobID) return pB;
|
|
}
|
|
return NULL;
|
|
};
|
|
};
|
|
|
|
inline void cvReleaseBlobTrackPostProc(CvBlobTrackPostProc** pBTPP)
|
|
{
|
|
if(pBTPP == NULL) return;
|
|
if(*pBTPP)(*pBTPP)->Release();
|
|
*pBTPP = 0;
|
|
}
|
|
|
|
/* Trajectory generation module: */
|
|
class CV_EXPORTS CvBlobTrackPostProcOne: public CvVSModule
|
|
{
|
|
public:
|
|
virtual CvBlob* Process(CvBlob* pBlob) = 0;
|
|
virtual void Release() = 0;
|
|
};
|
|
|
|
/* Create blob tracking post processing module based on simle module: */
|
|
CV_EXPORTS CvBlobTrackPostProc* cvCreateBlobTrackPostProcList(CvBlobTrackPostProcOne* (*create)());
|
|
|
|
|
|
/* Declarations of constructors of implemented modules: */
|
|
CV_EXPORTS CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcKalman();
|
|
CV_EXPORTS CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverRect();
|
|
CV_EXPORTS CvBlobTrackPostProc* cvCreateModuleBlobTrackPostProcTimeAverExp();
|
|
|
|
|
|
/* PREDICTORS */
|
|
/* blob PREDICTOR */
|
|
class CvBlobTrackPredictor: public CvVSModule
|
|
{
|
|
public:
|
|
virtual CvBlob* Predict() = 0;
|
|
virtual void Update(CvBlob* pBlob) = 0;
|
|
virtual void Release() = 0;
|
|
};
|
|
CV_EXPORTS CvBlobTrackPredictor* cvCreateModuleBlobTrackPredictKalman();
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/* Trajectory analyser module: */
|
|
class CV_EXPORTS CvBlobTrackAnalysis: public CvVSModule
|
|
{
|
|
public:
|
|
virtual void AddBlob(CvBlob* pBlob) = 0;
|
|
virtual void Process(IplImage* pImg, IplImage* pFG) = 0;
|
|
virtual float GetState(int BlobID) = 0;
|
|
/* return 0 if trajectory is normal
|
|
return >0 if trajectory abnormal */
|
|
virtual char* GetStateDesc(int /*BlobID*/){return NULL;};
|
|
virtual void SetFileName(char* /*DataBaseName*/){};
|
|
virtual void Release() = 0;
|
|
};
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|
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inline void cvReleaseBlobTrackAnalysis(CvBlobTrackAnalysis** pBTPP)
|
|
{
|
|
if(pBTPP == NULL) return;
|
|
if(*pBTPP)(*pBTPP)->Release();
|
|
*pBTPP = 0;
|
|
}
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|
|
|
/* Feature-vector generation module: */
|
|
class CV_EXPORTS CvBlobTrackFVGen : public CvVSModule
|
|
{
|
|
public:
|
|
virtual void AddBlob(CvBlob* pBlob) = 0;
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|
virtual void Process(IplImage* pImg, IplImage* pFG) = 0;
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|
virtual void Release() = 0;
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|
virtual int GetFVSize() = 0;
|
|
virtual int GetFVNum() = 0;
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virtual float* GetFV(int index, int* pFVID) = 0; /* Returns pointer to FV, if return 0 then FV not created */
|
|
virtual float* GetFVVar(){return NULL;}; /* Returns pointer to array of variation of values of FV, if returns 0 then FVVar does not exist. */
|
|
virtual float* GetFVMin() = 0; /* Returns pointer to array of minimal values of FV, if returns 0 then FVrange does not exist */
|
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virtual float* GetFVMax() = 0; /* Returns pointer to array of maximal values of FV, if returns 0 then FVrange does not exist */
|
|
};
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|
|
|
|
|
/* Trajectory Analyser module: */
|
|
class CV_EXPORTS CvBlobTrackAnalysisOne
|
|
{
|
|
public:
|
|
virtual ~CvBlobTrackAnalysisOne() {};
|
|
virtual int Process(CvBlob* pBlob, IplImage* pImg, IplImage* pFG) = 0;
|
|
/* return 0 if trajectory is normal
|
|
return >0 if trajectory abnormal */
|
|
virtual void Release() = 0;
|
|
};
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|
|
|
/* Create blob tracking post processing module based on simle module: */
|
|
CV_EXPORTS CvBlobTrackAnalysis* cvCreateBlobTrackAnalysisList(CvBlobTrackAnalysisOne* (*create)());
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|
|
|
/* Declarations of constructors of implemented modules: */
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|
|
|
/* Based on histogram analysis of 2D FV (x,y): */
|
|
CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistP();
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|
|
|
/* Based on histogram analysis of 4D FV (x,y,vx,vy): */
|
|
CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistPV();
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|
|
|
/* Based on histogram analysis of 5D FV (x,y,vx,vy,state): */
|
|
CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistPVS();
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|
|
|
/* Based on histogram analysis of 4D FV (startpos,stoppos): */
|
|
CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisHistSS();
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|
|
|
|
|
|
|
/* Based on SVM classifier analysis of 2D FV (x,y): */
|
|
//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMP();
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|
|
|
/* Based on SVM classifier analysis of 4D FV (x,y,vx,vy): */
|
|
//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMPV();
|
|
|
|
/* Based on SVM classifier analysis of 5D FV (x,y,vx,vy,state): */
|
|
//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMPVS();
|
|
|
|
/* Based on SVM classifier analysis of 4D FV (startpos,stoppos): */
|
|
//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisSVMSS();
|
|
|
|
/* Track analysis based on distance between tracks: */
|
|
CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisTrackDist();
|
|
|
|
/* Analyzer based on reation Road and height map: */
|
|
//CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysis3DRoadMap();
|
|
|
|
/* Analyzer that makes OR decision using set of analyzers: */
|
|
CV_EXPORTS CvBlobTrackAnalysis* cvCreateModuleBlobTrackAnalysisIOR();
|
|
|
|
/* Estimator of human height: */
|
|
class CV_EXPORTS CvBlobTrackAnalysisHeight: public CvBlobTrackAnalysis
|
|
{
|
|
public:
|
|
virtual double GetHeight(CvBlob* pB) = 0;
|
|
};
|
|
//CV_EXPORTS CvBlobTrackAnalysisHeight* cvCreateModuleBlobTrackAnalysisHeightScale();
|
|
|
|
|
|
|
|
/* AUTO BLOB TRACKER INTERFACE -- pipeline of 3 modules: */
|
|
class CV_EXPORTS CvBlobTrackerAuto: public CvVSModule
|
|
{
|
|
public:
|
|
virtual void Process(IplImage* pImg, IplImage* pMask = NULL) = 0;
|
|
virtual CvBlob* GetBlob(int index) = 0;
|
|
virtual CvBlob* GetBlobByID(int ID) = 0;
|
|
virtual int GetBlobNum() = 0;
|
|
virtual IplImage* GetFGMask(){return NULL;};
|
|
virtual float GetState(int BlobID) = 0;
|
|
virtual char* GetStateDesc(int BlobID) = 0;
|
|
/* return 0 if trajectory is normal;
|
|
* return >0 if trajectory abnormal. */
|
|
virtual void Release() = 0;
|
|
};
|
|
inline void cvReleaseBlobTrackerAuto(CvBlobTrackerAuto** ppT)
|
|
{
|
|
ppT[0]->Release();
|
|
ppT[0] = 0;
|
|
}
|
|
/* END AUTO BLOB TRACKER INTERFACE */
|
|
|
|
|
|
/* Constructor functions and data for specific BlobTRackerAuto modules: */
|
|
|
|
/* Parameters of blobtracker auto ver1: */
|
|
struct CvBlobTrackerAutoParam1
|
|
{
|
|
int FGTrainFrames; /* Number of frames needed for FG (foreground) detector to train. */
|
|
|
|
CvFGDetector* pFG; /* FGDetector module. If this field is NULL the Process FG mask is used. */
|
|
|
|
CvBlobDetector* pBD; /* Selected blob detector module. */
|
|
/* If this field is NULL default blobdetector module will be created. */
|
|
|
|
CvBlobTracker* pBT; /* Selected blob tracking module. */
|
|
/* If this field is NULL default blobtracker module will be created. */
|
|
|
|
CvBlobTrackGen* pBTGen; /* Selected blob trajectory generator. */
|
|
/* If this field is NULL no generator is used. */
|
|
|
|
CvBlobTrackPostProc* pBTPP; /* Selected blob trajectory postprocessing module. */
|
|
/* If this field is NULL no postprocessing is done. */
|
|
|
|
int UsePPData;
|
|
|
|
CvBlobTrackAnalysis* pBTA; /* Selected blob trajectory analysis module. */
|
|
/* If this field is NULL no track analysis is done. */
|
|
};
|
|
|
|
/* Create blob tracker auto ver1: */
|
|
CV_EXPORTS CvBlobTrackerAuto* cvCreateBlobTrackerAuto1(CvBlobTrackerAutoParam1* param = NULL);
|
|
|
|
/* Simple loader for many auto trackers by its type : */
|
|
inline CvBlobTrackerAuto* cvCreateBlobTrackerAuto(int type, void* param)
|
|
{
|
|
if(type == 0) return cvCreateBlobTrackerAuto1((CvBlobTrackerAutoParam1*)param);
|
|
return 0;
|
|
}
|
|
|
|
|
|
|
|
struct CvTracksTimePos
|
|
{
|
|
int len1,len2;
|
|
int beg1,beg2;
|
|
int end1,end2;
|
|
int comLen; //common length for two tracks
|
|
int shift1,shift2;
|
|
};
|
|
|
|
/*CV_EXPORTS int cvCompareTracks( CvBlobTrackSeq *groundTruth,
|
|
CvBlobTrackSeq *result,
|
|
FILE *file);*/
|
|
|
|
|
|
/* Constructor functions: */
|
|
|
|
CV_EXPORTS void cvCreateTracks_One(CvBlobTrackSeq *TS);
|
|
CV_EXPORTS void cvCreateTracks_Same(CvBlobTrackSeq *TS1, CvBlobTrackSeq *TS2);
|
|
CV_EXPORTS void cvCreateTracks_AreaErr(CvBlobTrackSeq *TS1, CvBlobTrackSeq *TS2, int addW, int addH);
|
|
|
|
|
|
/* HIST API */
|
|
class CV_EXPORTS CvProb
|
|
{
|
|
public:
|
|
virtual ~CvProb() {};
|
|
|
|
/* Calculate probability value: */
|
|
virtual double Value(int* /*comp*/, int /*x*/ = 0, int /*y*/ = 0){return -1;};
|
|
|
|
/* Update histograpp Pnew = (1-W)*Pold + W*Padd*/
|
|
/* W weight of new added prob */
|
|
/* comps - matrix of new fetature vectors used to update prob */
|
|
virtual void AddFeature(float W, int* comps, int x =0, int y = 0) = 0;
|
|
virtual void Scale(float factor = 0, int x = -1, int y = -1) = 0;
|
|
virtual void Release() = 0;
|
|
};
|
|
inline void cvReleaseProb(CvProb** ppProb){ppProb[0]->Release();ppProb[0]=NULL;}
|
|
/* HIST API */
|
|
|
|
/* Some Prob: */
|
|
CV_EXPORTS CvProb* cvCreateProbS(int dim, CvSize size, int sample_num);
|
|
CV_EXPORTS CvProb* cvCreateProbMG(int dim, CvSize size, int sample_num);
|
|
CV_EXPORTS CvProb* cvCreateProbMG2(int dim, CvSize size, int sample_num);
|
|
CV_EXPORTS CvProb* cvCreateProbHist(int dim, CvSize size);
|
|
|
|
#define CV_BT_HIST_TYPE_S 0
|
|
#define CV_BT_HIST_TYPE_MG 1
|
|
#define CV_BT_HIST_TYPE_MG2 2
|
|
#define CV_BT_HIST_TYPE_H 3
|
|
inline CvProb* cvCreateProb(int type, int dim, CvSize size = cvSize(1,1), void* /*param*/ = NULL)
|
|
{
|
|
if(type == CV_BT_HIST_TYPE_S) return cvCreateProbS(dim, size, -1);
|
|
if(type == CV_BT_HIST_TYPE_MG) return cvCreateProbMG(dim, size, -1);
|
|
if(type == CV_BT_HIST_TYPE_MG2) return cvCreateProbMG2(dim, size, -1);
|
|
if(type == CV_BT_HIST_TYPE_H) return cvCreateProbHist(dim, size);
|
|
return NULL;
|
|
}
|
|
|
|
|
|
|
|
/* Noise type definitions: */
|
|
#define CV_NOISE_NONE 0
|
|
#define CV_NOISE_GAUSSIAN 1
|
|
#define CV_NOISE_UNIFORM 2
|
|
#define CV_NOISE_SPECKLE 3
|
|
#define CV_NOISE_SALT_AND_PEPPER 4
|
|
|
|
/* Add some noise to image: */
|
|
/* pImg - (input) image without noise */
|
|
/* pImg - (output) image with noise */
|
|
/* noise_type - type of added noise */
|
|
/* CV_NOISE_GAUSSIAN - pImg += n , n - is gaussian noise with Ampl standart deviation */
|
|
/* CV_NOISE_UNIFORM - pImg += n , n - is uniform noise with Ampl standart deviation */
|
|
/* CV_NOISE_SPECKLE - pImg += n*pImg , n - is gaussian noise with Ampl standart deviation */
|
|
/* CV_NOISE_SALT_AND_PAPPER - pImg = pImg with blacked and whited pixels,
|
|
Ampl is density of brocken pixels (0-there are not broken pixels, 1 - all pixels are broken)*/
|
|
/* Ampl - "amplitude" of noise */
|
|
CV_EXPORTS void cvAddNoise(IplImage* pImg, int noise_type, double Ampl, CvRandState* rnd_state = NULL);
|
|
|
|
/*================== GENERATOR OF TEST VIDEO SEQUENCE ===================== */
|
|
typedef void CvTestSeq;
|
|
|
|
/* pConfigfile - Name of file (yml or xml) with description of test sequence */
|
|
/* videos - array of names of test videos described in "pConfigfile" file */
|
|
/* numvideos - size of "videos" array */
|
|
CV_EXPORTS CvTestSeq* cvCreateTestSeq(char* pConfigfile, char** videos, int numvideo, float Scale = 1, int noise_type = CV_NOISE_NONE, double noise_ampl = 0);
|
|
CV_EXPORTS void cvReleaseTestSeq(CvTestSeq** ppTestSeq);
|
|
|
|
/* Generate next frame from test video seq and return pointer to it: */
|
|
CV_EXPORTS IplImage* cvTestSeqQueryFrame(CvTestSeq* pTestSeq);
|
|
|
|
/* Return pointer to current foreground mask: */
|
|
CV_EXPORTS IplImage* cvTestSeqGetFGMask(CvTestSeq* pTestSeq);
|
|
|
|
/* Return pointer to current image: */
|
|
CV_EXPORTS IplImage* cvTestSeqGetImage(CvTestSeq* pTestSeq);
|
|
|
|
/* Return frame size of result test video: */
|
|
CV_EXPORTS CvSize cvTestSeqGetImageSize(CvTestSeq* pTestSeq);
|
|
|
|
/* Return number of frames result test video: */
|
|
CV_EXPORTS int cvTestSeqFrameNum(CvTestSeq* pTestSeq);
|
|
|
|
/* Return number of existing objects.
|
|
* This is general number of any objects.
|
|
* For example number of trajectories may be equal or less than returned value:
|
|
*/
|
|
CV_EXPORTS int cvTestSeqGetObjectNum(CvTestSeq* pTestSeq);
|
|
|
|
/* Return 0 if there is not position for current defined on current frame */
|
|
/* Return 1 if there is object position and pPos was filled */
|
|
CV_EXPORTS int cvTestSeqGetObjectPos(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pPos);
|
|
CV_EXPORTS int cvTestSeqGetObjectSize(CvTestSeq* pTestSeq, int ObjIndex, CvPoint2D32f* pSize);
|
|
|
|
/* Add noise to final image: */
|
|
CV_EXPORTS void cvTestSeqAddNoise(CvTestSeq* pTestSeq, int noise_type = CV_NOISE_NONE, double noise_ampl = 0);
|
|
|
|
/* Add Intensity variation: */
|
|
CV_EXPORTS void cvTestSeqAddIntensityVariation(CvTestSeq* pTestSeq, float DI_per_frame, float MinI, float MaxI);
|
|
CV_EXPORTS void cvTestSeqSetFrame(CvTestSeq* pTestSeq, int n);
|
|
|
|
#endif
|
|
|
|
/* End of file. */
|