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Automatically tracking human body parts is a difficult problem because of background clutters, missing body parts, and the high degrees of freedoms and complex kinematics of the articulated human body. This paper presents the sequential Markov random fields (SMRFs) for tracking and labeling moving human body parts automatically by learning the spatio-temporal structures of human motions in the setting...