• DocumentCode
    2206216
  • Title

    Pose estimation of human body based on silhouette images

  • Author

    Fan, Bin ; Wang, Zeng-Fu

  • Author_Institution
    Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2004
  • fDate
    21-25 June 2004
  • Firstpage
    296
  • Lastpage
    300
  • Abstract
    A method for articulated-pose identification from the silhouette of a human body is presented in this paper. First the method employs an energy function to extract a dummy skeleton of a human body from the silhouette, and then estimates the position of the joints by the knowledge of anthropotomy and three rules given by the standard human skeleton model. The three rules can help us to judge whether a point on the skeleton is a joint or not. The experimental results show that, the method is effective. It requires no any additional restrictions on the motion and color of a human body. Meantime the method is robust against the noise in the silhouette. Especially it has good performance in the case of complicated background.
  • Keywords
    anthropometry; feature extraction; motion estimation; anthropotomy knowledge; articulated-pose identification; human body; human skeleton model; pose estimation; silhouette images; Biological system modeling; Colored noise; Feature extraction; Humans; Image sequences; Joints; Motion analysis; Noise robustness; Robots; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Acquisition, 2004. Proceedings. International Conference on
  • Print_ISBN
    0-7803-8629-9
  • Type

    conf

  • DOI
    10.1109/ICIA.2004.1373373
  • Filename
    1373373