How a video algorithm could help out coaches

A key to the new motion-magnification algorithm is a technique for very precisely extracting foreground objects from their backgrounds.
A key to the new motion-magnification algorithm is a technique for very precisely extracting foreground objects from their backgrounds.
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For several years now, the research groups of CSAIL principal investigators William Freeman and Frédo Durand have been investigating techniques for amplifying movements captured by video but indiscernible to the human eye. Versions of their algorithms can make the human pulse visible and even recover intelligible speech from the vibrations of objects filmed through soundproof glass.

Earlier this month, at the Computer Vision and Pattern Recognition conference, Freeman, Durand, and colleagues at the Qatar Computing Research Institute (QCRI) presented a new version of the algorithm that can amplify small motions even when they’re contained within objects executing large motions. So, for instance, it could make visible the precise sequence of muscle contractions in the arms of a baseball player swinging the bat, or in the legs of a soccer player taking a corner kick.

“The previous version of the algorithm assumed everything was small in the video,” Durand says. “Now we want to be able magnify small motions that are hidden within large motions. The basic idea is to try to cancel the large motion and go back to the previous situation.”

Read more at MIT News: http://newsoffice.mit.edu/2015/algorithm-magnifies-motions-moving-objects-0617