• DocumentCode
    3568427
  • Title

    Active-vision system for multi-target surveillance

  • Author

    Bakhtari, Ardevan ; Benhabib, Beno

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada
  • Volume
    3
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    1169
  • Abstract
    This paper presents a novel agent-based method for the dynamic, coordinated selection and positioning of groups of active-vision cameras for the surveillance of multiple object-of-interests as they travel through a cluttered environment with a priori unknown trajectories. The proposed dispatching algorithm has been tested via simulations and implemented on an experimental prototype setup for automated facial recognition. Both analyses have shown that the use of dynamic sensors along with an on-line dispatching algorithm can tangibly improve the performance of a surveillance system.
  • Keywords
    active vision; face recognition; surveillance; a priori unknown trajectories; active-vision camera system; agent-based method; automated facial recognition; cluttered environment; dynamic coordinated selection; dynamic sensors; multi-target surveillance; multiple object-of-interests surveillance; on-line dispatching algorithm; Cameras; Computer integrated manufacturing; Control systems; Dispatching; Educational institutions; Face recognition; Industrial engineering; Optical sensors; Sensor systems; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2005 IEEE International Conference
  • Print_ISBN
    0-7803-9044-X
  • Type

    conf

  • DOI
    10.1109/ICMA.2005.1626718
  • Filename
    1626718