• DocumentCode
    2136844
  • Title

    Integrated multiple behavior models for abnormal crowd behavior detection

  • Author

    Cho, Sang-Hyun ; Kang, Hang-Bong

  • Author_Institution
    Dept. of Comput. Eng., Catholic Univ. of Korea, Bucheon, South Korea
  • fYear
    2012
  • fDate
    22-24 April 2012
  • Firstpage
    113
  • Lastpage
    116
  • Abstract
    We propose a method to detect abnormal crowd behavior using integrated multiple behavior models. Traditional abnormal detection methods are based only on personal behavior models. However, a single behavior model cannot accurately reflect complex crowd behavior. To solve this problem, we introduce an integrated multiple behavior model for accurate abnormal behavior detection in a complex crowd scene. We use not only the personal behavior model, but also multiple social behavior models. The experimental results show that our proposed method efficiently detects the abnormal behavior in a crowded scene.
  • Keywords
    computer vision; object detection; abnormal crowd behavior detection; integrated multiple social behavior models; personal behavior models; single behavior model; Biological system modeling; Computational modeling; Computer vision; Force; Image motion analysis; Social factors; Trajectory; abnormal behavior; behavior model; behavior recognition; crowd behavior; visual surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
  • Conference_Location
    Santa Fe, NM
  • Print_ISBN
    978-1-4673-1831-0
  • Electronic_ISBN
    978-1-4673-1829-7
  • Type

    conf

  • DOI
    10.1109/SSIAI.2012.6202466
  • Filename
    6202466