Computational Studies of Human Motion: Tracking and motion synthesis
Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis reviews methods for kinematic tracking of the human body in video. The review confines itself to the earlier stages of motion, focusing on tracking and motion synthesis. There is an extensive discussion of open issues. The authors identify some puzzling phenomena associated with the choice of human motion representation --- joint angles vs. joint positions. The review concludes with a quick guide to resources and an extensive bibliography of over 400 references. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis is an invaluable reference for those engaged in computational geometry, computer graphics, image processing, imaging in general, and robotic.
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3D conﬁguration 3D reconstruction algorithm ambiguity animation appearance model applied Arikan assume background subtraction blending body segments build camera classiﬁer cluster Computer Vision conﬁguration constraints data association deformation detector diﬀerent diﬃculty dimensional distance distance transform dynamic programming dynamical model eﬀect encode estimate evaluated example ﬁeld ﬁgure ﬁnd ﬁnding ﬁrst ﬁxed ﬂow ﬂow model footskate function human motion identiﬁes IEEE inference inverse kinematics joint angles joint positions Kalman ﬁlter legs likelihood likelihood function markers matching measurements method motion capture data motion graph multiple node obtain optimization parameters particle ﬁlter path Pattern Recognition pedestrian pixels pose posterior predict primitives principal component analysis problem produce regression relatively represent representation result RMS error sample scale score Section sequence signiﬁcant silhouette simpliﬁed space spatial structure suﬃcient synthesize template temporal texture texture map timescales tion torso tracker Triggs tuples vector velocity Vision and Pattern visual hull walking