• DocumentCode
    531806
  • Title

    Attention-based dense crowds analysis

  • Author

    Mancas, Matei

  • Author_Institution
    TCTS Lab., Univ. of Mons, Mons, Belgium
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The use of algorithms which model part of the human attention can bring interesting results in the video analysis of difficult scenarios like dense crowds. A rarity-based attention model is able to provide in real-time areas in video frames where motion behavior is surprising compared to the rest of the motion in the same frame. This algorithm is also resistant to camera shake or translation and points out abnormal activities which can be used in surveillance but also to analyze and even foster social interaction.
  • Keywords
    behavioural sciences; image motion analysis; video signal processing; video surveillance; attention-based dense crowds analysis; camera shake; human attention; motion behavior; rarity-based attention model; social interaction; surveillance; video analysis; video frame; Analytical models; Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on
  • Conference_Location
    Desenzano del Garda
  • Print_ISBN
    978-1-4244-7848-4
  • Electronic_ISBN
    978-88-905328-0-1
  • Type

    conf

  • Filename
    5617654