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127 lines
4.1 KiB
Matlab
127 lines
4.1 KiB
Matlab
#! /usr/bin/env octave
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cv
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highgui
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CLOCKS_PER_SEC = 1.0
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MHI_DURATION = 1;
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MAX_TIME_DELTA = 0.5;
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MIN_TIME_DELTA = 0.05;
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N = 4;
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buf = range(10)
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last = 0;
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mhi = []; # MHI
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orient = []; # orientation
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mask = []; # valid orientation mask
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segmask = []; # motion segmentation map
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storage = []; # temporary storage
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function update_mhi( img, dst, diff_threshold )
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global last
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global mhi
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global storage
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global mask
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global orient
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global segmask
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timestamp = time.clock()/CLOCKS_PER_SEC; # get current time in seconds
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size = cvSize(img.width,img.height); # get current frame size
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idx1 = last;
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if (! mhi || mhi.width != size.width || mhi.height != size.height)
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for i=0:N-1,
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buf[i] = cvCreateImage( size, IPL_DEPTH_8U, 1 );
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cvZero( buf[i] );
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mhi = cvCreateImage( size, IPL_DEPTH_32F, 1 );
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cvZero( mhi ); # clear MHI at the beginning
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orient = cvCreateImage( size, IPL_DEPTH_32F, 1 );
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segmask = cvCreateImage( size, IPL_DEPTH_32F, 1 );
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mask = cvCreateImage( size, IPL_DEPTH_8U, 1 );
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cvCvtColor( img, buf[last], CV_BGR2GRAY ); # convert frame to grayscale
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idx2 = (last + 1) % N; # index of (last - (N-1))th frame
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last = idx2;
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silh = buf[idx2];
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cvAbsDiff( buf[idx1], buf[idx2], silh ); # get difference between frames
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cvThreshold( silh, silh, diff_threshold, 1, CV_THRESH_BINARY ); # and threshold it
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cvUpdateMotionHistory( silh, mhi, timestamp, MHI_DURATION ); # update MHI
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cvCvtScale( mhi, mask, 255./MHI_DURATION,
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(MHI_DURATION - timestamp)*255./MHI_DURATION );
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cvZero( dst );
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cvMerge( mask, [], [], [], dst );
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cvCalcMotionGradient( mhi, mask, orient, MAX_TIME_DELTA, MIN_TIME_DELTA, 3 );
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if( not storage )
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storage = cvCreateMemStorage(0);
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else
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cvClearMemStorage(storage);
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seq = cvSegmentMotion( mhi, segmask, storage, timestamp, MAX_TIME_DELTA );
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for i=-1:seq.total-1,
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if( i < 0 ) # case of the whole image
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comp_rect = cvRect( 0, 0, size.width, size.height );
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color = CV_RGB(255,255,255);
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magnitude = 100.;
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else # i-th motion component
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comp_rect = seq[i].rect
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if( comp_rect.width + comp_rect.height < 100 ) # reject very small components
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continue;
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endif
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endif
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color = CV_RGB(255,0,0);
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magnitude = 30.;
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silh_roi = cvGetSubRect(silh, comp_rect);
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mhi_roi = cvGetSubRect( mhi, comp_rect );
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orient_roi = cvGetSubRect( orient, comp_rect );
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mask_roi = cvGetSubRect( mask, comp_rect );
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angle = cvCalcGlobalOrientation( orient_roi, mask_roi, mhi_roi, timestamp, MHI_DURATION);
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angle = 360.0 - angle; # adjust for images with top-left origin
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count = cvNorm( silh_roi, [], CV_L1, [] ); # calculate number of points within silhouette ROI
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if( count < comp_rect.width * comp_rect.height * 0.05 )
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continue;
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endif
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center = cvPoint( (comp_rect.x + comp_rect.width/2),
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(comp_rect.y + comp_rect.height/2) );
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cvCircle( dst, center, cvRound(magnitude*1.2), color, 3, CV_AA, 0 );
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cvLine( dst, center, cvPoint( cvRound( center.x + magnitude*cos(angle*CV_PI/180)),
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cvRound( center.y - magnitude*sin(angle*CV_PI/180))), \
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color, 3, CV_AA, 0 );
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endfor
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endif
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endfor
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endif
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endfunction
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motion = 0;
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capture = 0;
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if (size(argv, 1)==1)
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capture = cvCreateCameraCapture( 0 )
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elseif (size(argv, 1)==2 && all(isdigit(argv(1, :))))
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capture = cvCreateCameraCapture( int32(argv(1, :)) )
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elseif (size(argv, 1)==2)
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capture = cvCreateFileCapture( argv(1, :) );
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endif
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if (!capture)
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print "Could not initialize capturing..."
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exit(-1)
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endif
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cvNamedWindow( "Motion", 1 );
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while (true)
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image = cvQueryFrame( capture );
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if( image )
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if( ! motion )
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motion = cvCreateImage( cvSize(image.width,image.height), 8, 3 );
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cvZero( motion );
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motion.origin = image.origin;
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endif
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update_mhi( image, motion, 30 );
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cvShowImage( "Motion", motion );
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if( cvWaitKey(10) != -1 )
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break;
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endif
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else
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break
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endif
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endwhile
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cvDestroyWindow( "Motion" );
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