144 lines
5.7 KiB
C++
144 lines
5.7 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 __CVAUX_HPP__
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#define __CVAUX_HPP__
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#ifdef __cplusplus
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/****************************************************************************************\
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* Image class *
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\****************************************************************************************/
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class CV_EXPORTS CvCamShiftTracker
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{
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public:
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CvCamShiftTracker();
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virtual ~CvCamShiftTracker();
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/**** Characteristics of the object that are calculated by track_object method *****/
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float get_orientation() const // orientation of the object in degrees
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{ return m_box.angle; }
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float get_length() const // the larger linear size of the object
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{ return m_box.size.height; }
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float get_width() const // the smaller linear size of the object
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{ return m_box.size.width; }
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CvPoint2D32f get_center() const // center of the object
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{ return m_box.center; }
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CvRect get_window() const // bounding rectangle for the object
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{ return m_comp.rect; }
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/*********************** Tracking parameters ************************/
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int get_threshold() const // thresholding value that applied to back project
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{ return m_threshold; }
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int get_hist_dims( int* dims = 0 ) const // returns number of histogram dimensions and sets
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{ return m_hist ? cvGetDims( m_hist->bins, dims ) : 0; }
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int get_min_ch_val( int channel ) const // get the minimum allowed value of the specified channel
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{ return m_min_ch_val[channel]; }
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int get_max_ch_val( int channel ) const // get the maximum allowed value of the specified channel
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{ return m_max_ch_val[channel]; }
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// set initial object rectangle (must be called before initial calculation of the histogram)
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bool set_window( CvRect window)
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{ m_comp.rect = window; return true; }
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bool set_threshold( int threshold ) // threshold applied to the histogram bins
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{ m_threshold = threshold; return true; }
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bool set_hist_bin_range( int dim, int min_val, int max_val );
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bool set_hist_dims( int c_dims, int* dims );// set the histogram parameters
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bool set_min_ch_val( int channel, int val ) // set the minimum allowed value of the specified channel
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{ m_min_ch_val[channel] = val; return true; }
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bool set_max_ch_val( int channel, int val ) // set the maximum allowed value of the specified channel
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{ m_max_ch_val[channel] = val; return true; }
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/************************ The processing methods *********************************/
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// update object position
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virtual bool track_object( const IplImage* cur_frame );
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// update object histogram
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virtual bool update_histogram( const IplImage* cur_frame );
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// reset histogram
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virtual void reset_histogram();
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/************************ Retrieving internal data *******************************/
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// get back project image
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virtual IplImage* get_back_project()
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{ return m_back_project; }
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float query( int* bin ) const
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{ return m_hist ? (float)cvGetRealND(m_hist->bins, bin) : 0.f; }
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protected:
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// internal method for color conversion: fills m_color_planes group
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virtual void color_transform( const IplImage* img );
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CvHistogram* m_hist;
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CvBox2D m_box;
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CvConnectedComp m_comp;
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float m_hist_ranges_data[CV_MAX_DIM][2];
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float* m_hist_ranges[CV_MAX_DIM];
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int m_min_ch_val[CV_MAX_DIM];
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int m_max_ch_val[CV_MAX_DIM];
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int m_threshold;
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IplImage* m_color_planes[CV_MAX_DIM];
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IplImage* m_back_project;
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IplImage* m_temp;
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IplImage* m_mask;
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};
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#endif /* __cplusplus */
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#endif /* __CVAUX_HPP__ */
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/* End of file. */
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