A CSAIL team — Michael Rubinstein et al. — earned honorable mention for this video at the 10th annual International Science & Technology Visualization Challenge. In the video, the researchers demonstrated an algorithm they developed that amplifies and allows for analysis of subtle movements and variations in color in ordinary videos.
“Many seemingly static scenes contain subtle changes that are invisible to the naked human eye. However, it is possible to pull out these small changes from videos through the use of algorithms we have developed. We give a way to visualize these small changes by amplifying them and we present algorithms to pull out interesting signals from these videos, such as the human pulse, sound from vibrating objects and the motion of hot air.”
More about the project: