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Recognizing action at a distance
2003
Proceedings Ninth IEEE International Conference on Computer Vision
Our goal is to recognize human actions at a distance, at resolutions where a whole person may be, say, 30 pixels tall. We introduce a novel motion descriptor based on optical flow measurements in a spatio-temporal volume for each stabilized human figure, and an associated similarity measure to be used in a nearest-neighbor framework. Making use of noisy optical flow measurements is the key challenge, which is addressed by treating optical flow not as precise pixel displacements, but rather as a
doi:10.1109/iccv.2003.1238420
dblp:conf/iccv/EfrosBMM03
fatcat:eo4lmcranja55cz5wfhckp5vfy