A decentralized probabilistic approach to articulated body tracking

@article{Hua2007ADP,
  title={A decentralized probabilistic approach to articulated body tracking},
  author={Gang Hua and Ying Wu},
  journal={Computer Vision and Image Understanding},
  year={2007},
  volume={108},
  pages={272-283}
}
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… CONTINUE READING
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Attractive people: Assembling loose-limbed models using non-parametric belief propa- 282 G

  • L. Sigal, M. Isard, B. Sigelman, M. Black
  • Hua, Y. Wu / Computer Vision and Image…
  • 2007
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