1 /*M/////////////////////////////////////////////////////////////////////////////////////// 2 // 3 // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. 4 // 5 // By downloading, copying, installing or using the software you agree to this license. 6 // If you do not agree to this license, do not download, install, 7 // copy or use the software. 8 // 9 // 10 // Intel License Agreement 11 // For Open Source Computer Vision Library 12 // 13 // Copyright (C) 2000, Intel Corporation, all rights reserved. 14 // Third party copyrights are property of their respective owners. 15 // 16 // Redistribution and use in source and binary forms, with or without modification, 17 // are permitted provided that the following conditions are met: 18 // 19 // * Redistribution's of source code must retain the above copyright notice, 20 // this list of conditions and the following disclaimer. 21 // 22 // * Redistribution's in binary form must reproduce the above copyright notice, 23 // this list of conditions and the following disclaimer in the documentation 24 // and/or other materials provided with the distribution. 25 // 26 // * The name of Intel Corporation may not be used to endorse or promote products 27 // derived from this software without specific prior written permission. 28 // 29 // This software is provided by the copyright holders and contributors "as is" and 30 // any express or implied warranties, including, but not limited to, the implied 31 // warranties of merchantability and fitness for a particular purpose are disclaimed. 32 // In no event shall the Intel Corporation or contributors be liable for any direct, 33 // indirect, incidental, special, exemplary, or consequential damages 34 // (including, but not limited to, procurement of substitute goods or services; 35 // loss of use, data, or profits; or business interruption) however caused 36 // and on any theory of liability, whether in contract, strict liability, 37 // or tort (including negligence or otherwise) arising in any way out of 38 // the use of this software, even if advised of the possibility of such damage. 39 // 40 //M*/ 41 42 #ifndef __CVAUX_HPP__ 43 #define __CVAUX_HPP__ 44 45 #ifdef __cplusplus 46 47 /****************************************************************************************\ 48 * Image class * 49 \****************************************************************************************/ 50 51 class CV_EXPORTS CvCamShiftTracker 52 { 53 public: 54 55 CvCamShiftTracker(); 56 virtual ~CvCamShiftTracker(); 57 58 /**** Characteristics of the object that are calculated by track_object method *****/ 59 float get_orientation() const // orientation of the object in degrees 60 { return m_box.angle; } 61 float get_length() const // the larger linear size of the object 62 { return m_box.size.height; } 63 float get_width() const // the smaller linear size of the object 64 { return m_box.size.width; } 65 CvPoint2D32f get_center() const // center of the object 66 { return m_box.center; } 67 CvRect get_window() const // bounding rectangle for the object 68 { return m_comp.rect; } 69 70 /*********************** Tracking parameters ************************/ 71 int get_threshold() const // thresholding value that applied to back project 72 { return m_threshold; } 73 74 int get_hist_dims( int* dims = 0 ) const // returns number of histogram dimensions and sets 75 { return m_hist ? cvGetDims( m_hist->bins, dims ) : 0; } 76 77 int get_min_ch_val( int channel ) const // get the minimum allowed value of the specified channel 78 { return m_min_ch_val[channel]; } 79 80 int get_max_ch_val( int channel ) const // get the maximum allowed value of the specified channel 81 { return m_max_ch_val[channel]; } 82 83 // set initial object rectangle (must be called before initial calculation of the histogram) 84 bool set_window( CvRect window) 85 { m_comp.rect = window; return true; } 86 87 bool set_threshold( int threshold ) // threshold applied to the histogram bins 88 { m_threshold = threshold; return true; } 89 90 bool set_hist_bin_range( int dim, int min_val, int max_val ); 91 92 bool set_hist_dims( int c_dims, int* dims );// set the histogram parameters 93 94 bool set_min_ch_val( int channel, int val ) // set the minimum allowed value of the specified channel 95 { m_min_ch_val[channel] = val; return true; } 96 bool set_max_ch_val( int channel, int val ) // set the maximum allowed value of the specified channel 97 { m_max_ch_val[channel] = val; return true; } 98 99 /************************ The processing methods *********************************/ 100 // update object position 101 virtual bool track_object( const IplImage* cur_frame ); 102 103 // update object histogram 104 virtual bool update_histogram( const IplImage* cur_frame ); 105 106 // reset histogram 107 virtual void reset_histogram(); 108 109 /************************ Retrieving internal data *******************************/ 110 // get back project image 111 virtual IplImage* get_back_project() 112 { return m_back_project; } 113 114 float query( int* bin ) const 115 { return m_hist ? (float)cvGetRealND(m_hist->bins, bin) : 0.f; } 116 117 protected: 118 119 // internal method for color conversion: fills m_color_planes group 120 virtual void color_transform( const IplImage* img ); 121 122 CvHistogram* m_hist; 123 124 CvBox2D m_box; 125 CvConnectedComp m_comp; 126 127 float m_hist_ranges_data[CV_MAX_DIM][2]; 128 float* m_hist_ranges[CV_MAX_DIM]; 129 130 int m_min_ch_val[CV_MAX_DIM]; 131 int m_max_ch_val[CV_MAX_DIM]; 132 int m_threshold; 133 134 IplImage* m_color_planes[CV_MAX_DIM]; 135 IplImage* m_back_project; 136 IplImage* m_temp; 137 IplImage* m_mask; 138 }; 139 140 #endif /* __cplusplus */ 141 142 #endif /* __CVAUX_HPP__ */ 143 144 /* End of file. */ 145
