+++ /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