• DocumentCode
    2239933
  • Title

    Video sequence interpretation for visual surveillance

  • Author

    Rota, Nathanael ; Thonnat, Monique

  • Author_Institution
    INRIA, Sophia Antipolis, France
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    59
  • Lastpage
    68
  • Abstract
    This paper presents the work done on video sequence interpretation. We propose a framework based on two kinds of a priori knowledge: predefined scenarios and contextual information. This approach has been applied on video sequences of the AVS-PV visual surveillance European project
  • Keywords
    image sequences; research initiatives; surveillance; video cameras; video signal processing; AVS-PV visual surveillance European project; camera; contextual information; high-level video understanding; predefined scenarios; video sequence interpretation; visual surveillance; Automata; Cameras; Humans; Image processing; Layout; Object detection; Surveillance; Vehicle dynamics; Vehicles; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Surveillance, 2000. Proceedings. Third IEEE International Workshop on
  • Conference_Location
    Dublin
  • Print_ISBN
    0-7695-0698-4
  • Type

    conf

  • DOI
    10.1109/VS.2000.856858
  • Filename
    856858