Open Source Computer Vision Library
https://opencv.org/
286 lines
8.4 KiB
286 lines
8.4 KiB
/*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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#include "precomp.hpp" |
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#include "opencv2/video/tracking_c.h" |
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CvCamShiftTracker::CvCamShiftTracker() |
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{ |
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int i; |
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memset( &m_box, 0, sizeof(m_box)); |
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memset( &m_comp, 0, sizeof(m_comp)); |
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memset( m_color_planes, 0, sizeof(m_color_planes)); |
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m_threshold = 0; |
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for( i = 0; i < CV_MAX_DIM; i++ ) |
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{ |
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m_min_ch_val[i] = 0; |
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m_max_ch_val[i] = 255; |
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m_hist_ranges[i] = m_hist_ranges_data[i]; |
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m_hist_ranges[i][0] = 0.f; |
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m_hist_ranges[i][1] = 256.f; |
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} |
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m_hist = 0; |
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m_back_project = 0; |
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m_temp = 0; |
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m_mask = 0; |
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} |
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CvCamShiftTracker::~CvCamShiftTracker() |
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{ |
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int i; |
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cvReleaseHist( &m_hist ); |
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for( i = 0; i < CV_MAX_DIM; i++ ) |
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cvReleaseImage( &m_color_planes[i] ); |
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cvReleaseImage( &m_back_project ); |
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cvReleaseImage( &m_temp ); |
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cvReleaseImage( &m_mask ); |
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} |
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void |
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CvCamShiftTracker::color_transform( const IplImage* image ) |
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{ |
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CvSize size = cvGetSize(image); |
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uchar* color_data = 0, *mask = 0; |
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uchar* planes[CV_MAX_DIM]; |
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int x, color_step = 0, plane_step = 0, mask_step; |
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int dims[CV_MAX_DIM]; |
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int i, n = get_hist_dims(dims); |
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assert( image->nChannels == 3 && m_hist != 0 ); |
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if( !m_temp || !m_mask || !m_color_planes[0] || !m_color_planes[n-1] || !m_back_project || |
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m_temp->width != size.width || m_temp->height != size.height || |
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m_temp->nChannels != 3 ) |
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{ |
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cvReleaseImage( &m_temp ); |
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m_temp = cvCreateImage( size, IPL_DEPTH_8U, 3 ); |
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cvReleaseImage( &m_mask ); |
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m_mask = cvCreateImage( size, IPL_DEPTH_8U, 1 ); |
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cvReleaseImage( &m_back_project ); |
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m_back_project = cvCreateImage( size, IPL_DEPTH_8U, 1 ); |
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for( i = 0; i < CV_MAX_DIM; i++ ) |
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{ |
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cvReleaseImage( &m_color_planes[i] ); |
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if( i < n ) |
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m_color_planes[i] = cvCreateImage( size, IPL_DEPTH_8U, 1 ); |
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} |
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} |
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cvCvtColor( image, m_temp, CV_BGR2HSV ); |
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cvGetRawData( m_temp, &color_data, &color_step, &size ); |
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cvGetRawData( m_mask, &mask, &mask_step, &size ); |
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for( i = 0; i < n; i++ ) |
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cvGetRawData( m_color_planes[i], &planes[i], &plane_step, &size ); |
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for( ; size.height--; color_data += color_step, mask += mask_step ) |
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{ |
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for( x = 0; x < size.width; x++ ) |
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{ |
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int val0 = color_data[x*3]; |
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int val1 = color_data[x*3+1]; |
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int val2 = color_data[x*3+2]; |
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if( m_min_ch_val[0] <= val0 && val0 <= m_max_ch_val[0] && |
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m_min_ch_val[1] <= val1 && val1 <= m_max_ch_val[1] && |
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m_min_ch_val[2] <= val2 && val2 <= m_max_ch_val[2] ) |
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{ |
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// hue is written to the 0-th plane, saturation - to the 1-st one, |
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// so 1d histogram will automagically correspond to hue-based tracking, |
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// 2d histogram - to saturation-based tracking. |
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planes[0][x] = (uchar)val0; |
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if( n > 1 ) |
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planes[1][x] = (uchar)val1; |
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if( n > 2 ) |
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planes[2][x] = (uchar)val2; |
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mask[x] = (uchar)255; |
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} |
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else |
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{ |
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planes[0][x] = 0; |
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if( n > 1 ) |
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planes[1][x] = 0; |
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if( n > 2 ) |
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planes[2][x] = 0; |
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mask[x] = 0; |
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} |
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} |
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for( i = 0; i < n; i++ ) |
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planes[i] += plane_step; |
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} |
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} |
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bool |
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CvCamShiftTracker::update_histogram( const IplImage* cur_frame ) |
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{ |
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float max_val = 0; |
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int i, dims; |
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if( m_comp.rect.width == 0 || m_comp.rect.height == 0 || |
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m_hist == 0 ) |
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{ |
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assert(0); |
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return false; |
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} |
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color_transform(cur_frame); |
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dims = cvGetDims( m_hist->bins ); |
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for( i = 0; i < dims; i++ ) |
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cvSetImageROI( m_color_planes[i], m_comp.rect ); |
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cvSetImageROI( m_mask, m_comp.rect ); |
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cvSetHistBinRanges( m_hist, m_hist_ranges, 1 ); |
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cvCalcHist( m_color_planes, m_hist, 0, m_mask ); |
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for( i = 0; i < dims; i++ ) |
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cvSetImageROI( m_color_planes[i], m_comp.rect ); |
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for( i = 0; i < dims; i++ ) |
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cvResetImageROI( m_color_planes[i] ); |
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cvResetImageROI( m_mask ); |
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cvGetMinMaxHistValue( m_hist, 0, &max_val ); |
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cvScale( m_hist->bins, m_hist->bins, max_val ? 255. / max_val : 0. ); |
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return max_val != 0; |
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} |
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void |
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CvCamShiftTracker::reset_histogram() |
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{ |
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if( m_hist ) |
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cvClearHist( m_hist ); |
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} |
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bool |
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CvCamShiftTracker::track_object( const IplImage* cur_frame ) |
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{ |
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CvRect rect; |
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CvSize bp_size; |
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union |
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{ |
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void** arr; |
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IplImage** img; |
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} u; |
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if( m_comp.rect.width == 0 || m_comp.rect.height == 0 || |
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m_hist == 0 ) |
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{ |
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return false; |
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} |
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color_transform( cur_frame ); |
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u.img = m_color_planes; |
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cvCalcArrBackProject( u.arr, m_back_project, m_hist ); |
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cvAnd( m_back_project, m_mask, m_back_project ); |
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rect = m_comp.rect; |
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bp_size = cvGetSize( m_back_project ); |
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if( rect.x < 0 ) |
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rect.x = 0; |
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if( rect.x + rect.width > bp_size.width ) |
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rect.width = bp_size.width - rect.x; |
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if( rect.y < 0 ) |
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rect.y = 0; |
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if( rect.y + rect.height > bp_size.height ) |
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rect.height = bp_size.height - rect.y; |
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cvCamShift( m_back_project, rect, |
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cvTermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ), |
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&m_comp, &m_box ); |
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if( m_comp.rect.width == 0 || m_comp.rect.height == 0 ) |
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m_comp.rect = rect; // do not allow tracker to loose the object |
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return m_comp.rect.width != 0 && m_comp.rect.height != 0; |
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} |
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bool |
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CvCamShiftTracker::set_hist_dims( int c_dims, int *dims ) |
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{ |
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if( (unsigned)(c_dims-1) >= (unsigned)CV_MAX_DIM || dims == 0 ) |
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return false; |
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if( m_hist ) |
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{ |
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int dims2[CV_MAX_DIM]; |
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int c_dims2 = cvGetDims( m_hist->bins, dims2 ); |
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if( c_dims2 == c_dims && memcmp( dims, dims2, c_dims*sizeof(dims[0])) == 0 ) |
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return true; |
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cvReleaseHist( &m_hist ); |
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} |
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m_hist = cvCreateHist( c_dims, dims, CV_HIST_ARRAY, 0, 0 ); |
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return true; |
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} |
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bool |
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CvCamShiftTracker::set_hist_bin_range( int channel, int min_val, int max_val ) |
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{ |
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if( (unsigned)channel >= (unsigned)CV_MAX_DIM || |
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min_val >= max_val || min_val < 0 || max_val > 256 ) |
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{ |
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assert(0); |
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return false; |
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} |
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m_hist_ranges[channel][0] = (float)min_val; |
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m_hist_ranges[channel][1] = (float)max_val; |
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return true; |
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} |
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/* End of file. */
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