• DocumentCode
    2700526
  • Title

    The Intelligent vision sensor: Turning video into information

  • Author

    Lipton, Alan J. ; Clark, John I W ; Thompson, Bruce ; Myers, Gary ; Titus, Stephen R. ; Zhang, Zhong ; Venetianer, Péter L.

  • Author_Institution
    ObjectVideo, Reston
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    Video analytics for security and surveillance applications is becoming commonplace. Advances in algorithm robustness and low-cost video platforms have allowed analytics to become an ingredient for many different devices ranging from cameras to encoders to routers to storage. As algorithms become more refined, the analytics paradigm shifts from a human-support model to an automation model. In this context, ObjectVideo, the leader in intelligent video, has created a new concept in video analytics devices - the intelligent vision sensor (IVS). This device consists of a video imager and lens combined with an onboard processor and communication channel. This low-cost device turns video imagery into actionable information that can be used in building automation and business intelligence applications. This paper describes the technical and market drivers that facilitate the creation and adoption of the IVS device as well as a specific case study involving an application for heating, ventilation, and air conditioning (HVAC) and lighting control.
  • Keywords
    image sensors; intelligent sensors; video signal processing; ObjectVideo; actionable information; communication channel; intelligent video; intelligent vision sensor; onboard processor; video analytics devices; video imagery; Algorithm design and analysis; Automation; Cameras; Context; Information security; Intelligent sensors; Lenses; Robustness; Surveillance; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-1696-7
  • Electronic_ISBN
    978-1-4244-1696-7
  • Type

    conf

  • DOI
    10.1109/AVSS.2007.4425287
  • Filename
    4425287