• DocumentCode
    1869730
  • Title

    Multi-camera Based Traffic Flow Characterization & Classification

  • Author

    Khoshabeh, Ramsin ; Gandhi, Tarak ; Trivedi, Mohan M.

  • Author_Institution
    California Univ. San Diego, La Jolla
  • fYear
    2007
  • fDate
    Sept. 30 2007-Oct. 3 2007
  • Firstpage
    259
  • Lastpage
    264
  • Abstract
    We describe a system that employs the use of an omnidirectional camera in tandem with a pan-tilt-zoom (PTZ) camera in order to characterize traffic flows, analyze vehicles, and detect and capture anomalous behaviors. The framework is such that we can generate long-term statistics of traffic patterns while still monitoring unusual activity, even apart from the traffic zone. We use the PTZ in conjunction with the omni camera in order to perform classification analysis at coarse and fine levels. The omni performs the coarse classification and using information from that camera, the PTZ is able to perform refined classifications while actively moving throughout the scene.
  • Keywords
    cameras; image classification; monitoring; traffic engineering computing; video signal processing; anomalous behaviors detection; multicamera; omnidirectional camera; pan-tilt-zoom camera; traffic flow characterization; traffic flow classification; traffic patterns statistics; unusual activity monitoring; vehicle analysis; Information analysis; Intelligent transportation systems; Layout; Monitoring; Performance analysis; Roads; Smart cameras; Statistics; Vehicle detection; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1396-6
  • Electronic_ISBN
    978-1-4244-1396-6
  • Type

    conf

  • DOI
    10.1109/ITSC.2007.4357750
  • Filename
    4357750