• DocumentCode
    3178657
  • Title

    Human behavior understanding for video surveillance: Recent advance

  • Author

    Xu, Xin ; Tang, J. ; Liu, Xiaoming ; Zhang, Xiaolong

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    10-13 Oct. 2010
  • Firstpage
    3867
  • Lastpage
    3873
  • Abstract
    With the wide applications of video cameras in surveillance, video analysis technologies have attracted the attention from the researchers in computer vision field. In video analysis, human behavior recognition and understanding is an important research direction. By recognition and understanding the human behaviors, we can predict and recognize the happening of crimes and help to the police or other agencies to react immediately. In the past, large amount of intensive papers have been published on human behavior understanding in videos. Generally speaking, the procedure of human behavior understanding can be divided into the following stages: human segmentation and tracking, and human behavior recognition. In this paper, we provide a comprehensive survey of the recent development of all these stages. We will also discuss the difficulties in behavior understanding and identify possible future directions.
  • Keywords
    image recognition; image segmentation; video signal processing; video surveillance; computer vision field; human behavior recognition; human behavior understanding; human segmentation stage; human tracking stage; video analysis technology; video surveillance; Adaptation model; Bayesian methods; Hidden Markov models; Humans; Pixel; Surveillance; behavior understanding; graphical model; human segmentation; human tracking; video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-6586-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2010.5641773
  • Filename
    5641773