• DocumentCode
    938204
  • Title

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

  • Author

    Huang, S.-S. ; Fu, L.-C. ; Hsiao, P.-Y.

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Univ., Taipei, Taiwan
  • Volume
    42
  • Issue
    10
  • fYear
    2006
  • fDate
    5/11/2006 12:00:00 AM
  • Firstpage
    575
  • Lastpage
    577
  • Abstract
    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.
  • Keywords
    Monte Carlo methods; image recognition; human pose inference; reversible jump Markov chain Monte Carlo; silhouette-based human pose estimation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20060044
  • Filename
    1633565
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=938204