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