--- /dev/null
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+// By downloading, copying, installing or using the software you agree to this license.
+// If you do not agree to this license, do not download, install,
+// copy or use the software.
+//
+//
+// Intel License Agreement
+// For Open Source Computer Vision Library
+//
+// Copyright (C) 2000, Intel Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+// * Redistribution's of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+//
+// * Redistribution's in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+//
+// * The name of Intel Corporation may not be used to endorse or promote products
+// derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+#include "_cvaux.h"
+
+CvCamShiftTracker::CvCamShiftTracker()
+{
+ int i;
+
+ memset( &m_box, 0, sizeof(m_box));
+ memset( &m_comp, 0, sizeof(m_comp));
+ memset( m_color_planes, 0, sizeof(m_color_planes));
+ m_threshold = 0;
+
+ for( i = 0; i < CV_MAX_DIM; i++ )
+ {
+ m_min_ch_val[i] = 0;
+ m_max_ch_val[i] = 255;
+ m_hist_ranges[i] = m_hist_ranges_data[i];
+ m_hist_ranges[i][0] = 0.f;
+ m_hist_ranges[i][1] = 256.f;
+ }
+
+ m_hist = 0;
+ m_back_project = 0;
+ m_temp = 0;
+ m_mask = 0;
+}
+
+
+CvCamShiftTracker::~CvCamShiftTracker()
+{
+ int i;
+
+ cvReleaseHist( &m_hist );
+ for( i = 0; i < CV_MAX_DIM; i++ )
+ cvReleaseImage( &m_color_planes[i] );
+ cvReleaseImage( &m_back_project );
+ cvReleaseImage( &m_temp );
+ cvReleaseImage( &m_mask );
+}
+
+
+void
+CvCamShiftTracker::color_transform( const IplImage* image )
+{
+ CvSize size = cvGetSize(image);
+ uchar* color_data = 0, *mask = 0;
+ uchar* planes[CV_MAX_DIM];
+ int x, color_step = 0, plane_step = 0, mask_step;
+ int dims[CV_MAX_DIM];
+ int i, n = get_hist_dims(dims);
+
+ assert( image->nChannels == 3 && m_hist != 0 );
+
+ if( !m_temp || !m_mask || !m_color_planes[0] || !m_color_planes[n-1] || !m_back_project ||
+ m_temp->width != size.width || m_temp->height != size.height ||
+ m_temp->nChannels != 3 )
+ {
+ cvReleaseImage( &m_temp );
+ m_temp = cvCreateImage( size, IPL_DEPTH_8U, 3 );
+ cvReleaseImage( &m_mask );
+ m_mask = cvCreateImage( size, IPL_DEPTH_8U, 1 );
+ cvReleaseImage( &m_back_project );
+ m_back_project = cvCreateImage( size, IPL_DEPTH_8U, 1 );
+ for( i = 0; i < CV_MAX_DIM; i++ )
+ {
+ cvReleaseImage( &m_color_planes[i] );
+ if( i < n )
+ m_color_planes[i] = cvCreateImage( size, IPL_DEPTH_8U, 1 );
+ }
+ }
+
+ cvCvtColor( image, m_temp, CV_BGR2HSV );
+ cvGetRawData( m_temp, &color_data, &color_step, &size );
+ cvGetRawData( m_mask, &mask, &mask_step, &size );
+
+ for( i = 0; i < n; i++ )
+ cvGetRawData( m_color_planes[i], &planes[i], &plane_step, &size );
+
+ for( ; size.height--; color_data += color_step, mask += mask_step )
+ {
+ for( x = 0; x < size.width; x++ )
+ {
+ int val0 = color_data[x*3];
+ int val1 = color_data[x*3+1];
+ int val2 = color_data[x*3+2];
+ if( m_min_ch_val[0] <= val0 && val0 <= m_max_ch_val[0] &&
+ m_min_ch_val[1] <= val1 && val1 <= m_max_ch_val[1] &&
+ m_min_ch_val[2] <= val2 && val2 <= m_max_ch_val[2] )
+ {
+ // hue is written to the 0-th plane, saturation - to the 1-st one,
+ // so 1d histogram will automagically correspond to hue-based tracking,
+ // 2d histogram - to saturation-based tracking.
+ planes[0][x] = (uchar)val0;
+ if( n > 1 )
+ planes[1][x] = (uchar)val1;
+ if( n > 2 )
+ planes[2][x] = (uchar)val2;
+
+ mask[x] = (uchar)255;
+ }
+ else
+ {
+ planes[0][x] = 0;
+ if( n > 1 )
+ planes[1][x] = 0;
+ if( n > 2 )
+ planes[2][x] = 0;
+ mask[x] = 0;
+ }
+ }
+ for( i = 0; i < n; i++ )
+ planes[i] += plane_step;
+ }
+}
+
+
+bool
+CvCamShiftTracker::update_histogram( const IplImage* cur_frame )
+{
+ float max_val = 0;
+ int i, dims;
+
+ if( m_comp.rect.width == 0 || m_comp.rect.height == 0 ||
+ m_hist == 0 )
+ {
+ assert(0);
+ return false;
+ }
+
+ color_transform(cur_frame);
+
+ dims = cvGetDims( m_hist->bins );
+ for( i = 0; i < dims; i++ )
+ cvSetImageROI( m_color_planes[i], m_comp.rect );
+ cvSetImageROI( m_mask, m_comp.rect );
+
+ cvSetHistBinRanges( m_hist, m_hist_ranges, 1 );
+ cvCalcHist( m_color_planes, m_hist, 0, m_mask );
+
+ for( i = 0; i < dims; i++ )
+ cvSetImageROI( m_color_planes[i], m_comp.rect );
+
+ for( i = 0; i < dims; i++ )
+ cvResetImageROI( m_color_planes[i] );
+ cvResetImageROI( m_mask );
+
+ cvGetMinMaxHistValue( m_hist, 0, &max_val );
+ cvScale( m_hist->bins, m_hist->bins, max_val ? 255. / max_val : 0. );
+
+ return max_val != 0;
+}
+
+
+void
+CvCamShiftTracker::reset_histogram()
+{
+ if( m_hist )
+ cvClearHist( m_hist );
+}
+
+
+bool
+CvCamShiftTracker::track_object( const IplImage* cur_frame )
+{
+ CvRect rect;
+ CvSize bp_size;
+
+ union
+ {
+ void** arr;
+ IplImage** img;
+ } u;
+
+ if( m_comp.rect.width == 0 || m_comp.rect.height == 0 ||
+ m_hist == 0 )
+ {
+ return false;
+ }
+
+ color_transform( cur_frame );
+ u.img = m_color_planes;
+ cvCalcArrBackProject( u.arr, m_back_project, m_hist );
+ cvAnd( m_back_project, m_mask, m_back_project );
+
+ rect = m_comp.rect;
+ bp_size = cvGetSize( m_back_project );
+ if( rect.x < 0 )
+ rect.x = 0;
+ if( rect.x + rect.width > bp_size.width )
+ rect.width = bp_size.width - rect.x;
+ if( rect.y < 0 )
+ rect.y = 0;
+ if( rect.y + rect.height > bp_size.height )
+ rect.height = bp_size.height - rect.y;
+
+ cvCamShift( m_back_project, rect,
+ cvTermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ),
+ &m_comp, &m_box );
+
+ if( m_comp.rect.width == 0 || m_comp.rect.height == 0 )
+ m_comp.rect = rect; // do not allow tracker to loose the object
+
+ return m_comp.rect.width != 0 && m_comp.rect.height != 0;
+}
+
+
+bool
+CvCamShiftTracker::set_hist_dims( int c_dims, int *dims )
+{
+ if( (unsigned)(c_dims-1) >= (unsigned)CV_MAX_DIM || dims == 0 )
+ return false;
+
+ if( m_hist )
+ {
+ int dims2[CV_MAX_DIM];
+ int c_dims2 = cvGetDims( m_hist->bins, dims2 );
+
+ if( c_dims2 == c_dims && memcmp( dims, dims2, c_dims*sizeof(dims[0])) == 0 )
+ return true;
+
+ cvReleaseHist( &m_hist );
+ }
+
+ m_hist = cvCreateHist( c_dims, dims, CV_HIST_ARRAY, 0, 0 );
+
+ return true;
+}
+
+
+bool
+CvCamShiftTracker::set_hist_bin_range( int channel, int min_val, int max_val )
+{
+ if( (unsigned)channel >= (unsigned)CV_MAX_DIM ||
+ min_val >= max_val || min_val < 0 || max_val > 256 )
+ {
+ assert(0);
+ return false;
+ }
+
+ m_hist_ranges[channel][0] = (float)min_val;
+ m_hist_ranges[channel][1] = (float)max_val;
+
+ return true;
+}
+
+/* End of file. */
projects / opencv / blobdiff