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https://github.com/opencv/opencv.git
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286 lines
8.4 KiB
C++
286 lines
8.4 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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#include "precomp.hpp"
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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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