• DocumentCode
    2452010
  • Title

    Star skeleton for human behavior recognition

  • Author

    Fan, Zhang ; Li, Guo ; Haixian, Lu ; Shu, Gui ; Jinkui, Li

  • Author_Institution
    Dept. of Electron. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    1046
  • Lastpage
    1050
  • Abstract
    Against to the traditional single-view two-dimensional body shape can not describe the diversity and ambiguity of human action, this paper present a 2D action recognition method based on human 3D star skeleton. It use multi-view two-dimensional body shape to describe and identify human action. The offline training process set up the 2D star skeleton codebook and 3D skeleton sequence. The online recognition process put up the vector quantization, get the matched 3D skeleton and then identify the human action. The experimental results show that this method has high recognition rate.
  • Keywords
    emotion recognition; geometry; image sequences; shape recognition; vectors; 2D action recognition metho; 2D star skeleton codebook; 3D skeleton sequence; human 3D star skeleton; human behavior recognition; multiview two-dimensional body shape; offline training process; online recognition process; single-view two-dimensional body shape; vector quantization; Databases; Hidden Markov models; Humans; Image recognition; Skeleton; Solid modeling; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376770
  • Filename
    6376770