• DocumentCode
    506985
  • Title

    Adaptive Human Body Tracking and its Abnormality Deportment Analysis

  • Author

    Wu, Youfu ; Wu, Jing ; Zhou, Gang

  • Author_Institution
    Guizhou Univ. for Nat., Guiyang, China
  • Volume
    3
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    503
  • Lastpage
    507
  • Abstract
    In this paper, we address these challenges in real-world unconstrained environments where the background is complex and dynamic. In the algorithm proposed, we extract the features in a color space, accumulate the feature information over a short time, and fuse high-level knowledge and low-level feature information. A fuzzy technique is also developed to detach silhouettes of moving objects from a human body silhouette. Experimental results show that our algorithm works efficiently and robustly.
  • Keywords
    body sensor networks; feature extraction; abnormality deportment analysis; adaptive human body tracking; feature extraction; feature information; fuzzy technique; human body silhouette; real-world unconstrained environments; Biological system modeling; Data mining; Feature extraction; Fuses; Fuzzy systems; Heuristic algorithms; Humans; Merchandise; Robustness; Video surveillance; Kalman filter; Non-symmetric ? membership function (NSMF); Tracking silhouette; abnormality deportment analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.575
  • Filename
    5359026