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A decentralized probabilistic approach to articulated body tracking
2007
Computer Vision and Image Understanding
We present a novel decentralized probabilistic approach to visual tracking of articulated objects. Analyzing articulated motion is challenging because (1) the high degrees of freedom potentially demands tremendous computation, and (2) the solution is confronted by the numerous local optima existed in a high dimensional parametric space. To ease these problems, we propose a decentralized approach that analyzes limbs locally and reinforces the spatial coherence among them at the same time. The
doi:10.1016/j.cviu.2006.11.020
fatcat:gbu5yrg7cvgj3lb2tsyu4siksi