Human pose estimation from a single view point, real-time range sensor

  title={Human pose estimation from a single view point, real-time range sensor},
  author={Matheen Siddiqui and G{\'e}rard G. Medioni},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops},
We estimate and track articulated human poses in sequences from a single view, real-time range sensor. We use a data driven MCMC approach to find an optimal pose based on a likelihood that compares synthesized depth images to the observed depth image. To speed up convergence of this search, we make use of bottom up detectors that generate candidate head, hand and forearm locations. Our Markov chain dynamics explore solutions about these parts and thus combine bottom up and top down processing… CONTINUE READING
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