基于OpenCv目标跟踪系统的实现 - 图文(3)

cvSplit( hsv, hue, 0, 0, 0 );

if( track_object < 0 ) {

float max_val = 0.f;

cvSetImageROI( hue, selection ); cvSetImageROI( mask, selection ); cvCalcHist( &hue, hist, 0, mask );

cvGetMinMaxHistValue( hist, 0, &max_val, 0, 0 );

cvConvertScale( hist->bins, hist->bins, max_val ? 255. / max_val : 0., 0 );

cvResetImageROI( hue ); cvResetImageROI( mask ); track_window = selection; track_object = 1;

cvZero( histimg );

bin_w = histimg->width / hdims; for( i = 0; i < hdims; i++ ) {

int val =

cvRound( cvGetReal1D(hist->bins,i)*histimg->height/255 );

CvScalar color = hsv2rgb(i*180.f/hdims);

cvRectangle( histimg, cvPoint(i*bin_w,histimg->height), cvPoint((i+1)*bin_w,histimg->height - val), color, -1, 8, 0 ); } }

cvCalcBackProject( &hue, backproject, hist ); cvAnd( backproject, mask, backproject, 0 ); cvCamShift( backproject, track_window,

cvTermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ),

&track_comp, &track_box ); track_window = track_comp.rect;

if( backproject_mode )

cvCvtColor( backproject, image, CV_GRAY2BGR ); if( image->origin )

track_box.angle = -track_box.angle;

cvEllipseBox( image, track_box, CV_RGB(255,0,0), 3, CV_AA, 0 ); }

if( select_object && selection.width > 0 && selection.height > 0 ) {

cvSetImageROI( image, selection );

cvXorS( image, cvScalarAll(255), image, 0 ); cvResetImageROI( image ); }

cvShowImage( \ cvShowImage( \

c = cvWaitKey(10); if( (char) c == 27 ) break;

switch( (char) c ) {

case 'b':

backproject_mode ^= 1; break; case 'c':

track_object = 0; cvZero( histimg ); break; case 'h':

show_hist ^= 1; if( !show_hist )

cvDestroyWindow( \ else

cvNamedWindow( \ break; default: ; } }

cvReleaseCapture( &capture );

cvDestroyWindow(\

return 0; }

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