• DocumentCode
    2410663
  • Title

    Person-on-person violence detection in video data

  • Author

    Datta, Ankur ; Shah, Mubarak ; Lobo, Niels Da Vitoria

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Central Florida Univ., Orlando, FL, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    433
  • Abstract
    We address the problem of detecting human violence in video, such as fist fighting, kicking, hitting with objects, etc. To detect violence we rely on motion trajectory information and on orientation information of a person´s limbs. We define an Acceleration Measure Vector (AMV) composed of direction and magnitude of motion and we define jerk to be the temporal derivative of AMV We present results from several data sequences involving multiple types of violent activities.
  • Keywords
    gesture recognition; image motion analysis; image sequences; video signal processing; acceleration measure vector; data sequences; fist fighting; hitting; human violence; jerk; kicking; limb orientation information; motion trajectory information; person-on-person violence detection; temporal derivative; video data; Arm; Cameras; Feature extraction; Histograms; Humans; Inference algorithms; Layout; Leg; Motion pictures; Object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1044748
  • Filename
    1044748