In a previous phase of the pipeline, we've isolated the moving pixels in each frame as a binary mask. To generate these images, we iterate over the binary mask for each frame and count the number of white pixels at each location (i,j).
The first row contains binary motion histories for the up- and downswing, where a white pixel means at least one frame mask had that particular pixel set. For the images in the second row, we've normalized the intensity of white relative to the maximum number of votes any one pixel had.
The motion history images for the second video (not shown here) are similar in quality, with slightly less background noise.
No comments:
Post a Comment