Silhouette-based human pose estimation using reversible jump Markov chain Monte Carlo

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Silhouette-based human pose estimation using reversible jump Markov chain Monte Carlo

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A novel approach for recovering the human body configuration based on the silhouette is presented. By considering pose inference as traversing the difference subspaces and using a data-driven mechanism, reversible jump Markov chain Monte Carlo (RJMCMC) can explore such solution space very efficiently. Experimental results are provided to demonstrate the efficiency and effectiveness of the proposed approach.

Inspec keywords: Monte Carlo methods; image recognition

Other keywords: silhouette-based human pose estimation; human pose inference; reversible jump Markov chain Monte Carlo

Subjects: Image recognition; Monte Carlo methods; Monte Carlo methods; Computer vision and image processing techniques

References

    1. 1)
      • G. Shakhnarowich , P. Viola , T. Darrell . Fast pose estimation with parameter-sensitive hashing. Int. Conf. on Computer Vision , 750 - 757
    2. 2)
    3. 3)
      • P.J. Green . Reversible jump Markov chain Monte Carlo computation and Bayesian Model Determination. Biometrika , 4 , 711 - 732
    4. 4)
      • D. Reisfeld , H. Wolfson , Y. Yeshurun . Context free attentional operations: the generalized symmetry transform. Int. J. Comput. Vis. , 2 , 119 - 130
    5. 5)
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