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VILSS: Human Action Recognition and Detection from Noisy 3D Skeleton Data

Mohamed Hussein, Egypt-Japan University of Science and Technology Human action recognition and human action detection are two closely related problems. In human action recogniton, the purpose is to determine the class of an action performed by a human subject from spatio-temporal measurements of the subject, which are cropped in the time dimension to include only the […]