• DocumentCode
    2068734
  • Title

    Multi-camera Control through Constraint Satisfaction for Persistent Surveillance

  • Author

    Qureshi, Faisal Z. ; Terzopoulos, Demetri

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    211
  • Lastpage
    218
  • Abstract
    We introduce a distributed camera coalition formation scheme for perceptive scene coverage and persistent surveillance by smart camera sensor networks. The proposed model supports task-dependent camera selection and grouping via a "contract net" task allocation protocol augmented with conflict resolution and error recovery mechanisms. Our technique avoids any central controller, and it is robust to node failures and imperfect communication. In the design and empirical evaluation of our camera networks, we exploit a visually and behaviorally realistic virtual environment simulator that is populated by autonomous, lifelike virtual pedestrians.
  • Keywords
    image sensors; intelligent sensors; sensor fusion; video surveillance; virtual reality; constraint satisfaction; distributed camera coalition formation scheme; error recovery mechanisms; multicamera control; perceptive scene coverage; persistent surveillance; smart camera sensor networks; task allocation protocol; virtual environment simulator; virtual pedestrians; Centralized control; Communication system control; Contracts; Intelligent sensors; Layout; Protocols; Robust control; Smart cameras; Surveillance; Virtual environment; Virtual vision; camera networks; multi-camera systems; surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance, 2008. AVSS '08. IEEE Fifth International Conference on
  • Conference_Location
    Santa Fe, NM
  • Print_ISBN
    978-0-7695-3341-4
  • Electronic_ISBN
    978-0-7695-3422-0
  • Type

    conf

  • DOI
    10.1109/AVSS.2008.37
  • Filename
    4730414