• DocumentCode
    3338598
  • Title

    A survey of vision-based vehicle detection and tracking techniques in ITS

  • Author

    Yuqiang Liu ; Bin Tian ; Songhang Chen ; Fenghua Zhu ; Kunfeng Wang

  • Author_Institution
    State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
  • fYear
    2013
  • fDate
    28-30 July 2013
  • Firstpage
    72
  • Lastpage
    77
  • Abstract
    There has been an ever-increasing interest in research on traffic detection and traffic scene understanding based on computer vision, driven by the increasing processor speed and the increasing deployment of cameras. This field is of increasing relevance for the intelligent transport system (ITS). Therefore, there seems to be a real need for an analytical review of recent developments in this domain. We present here is a comprehensive review of video processing techniques state of the art for vehicle detection and tracking and an outlook to future research directions.
  • Keywords
    automated highways; cameras; computer vision; object detection; object tracking; traffic engineering computing; video signal processing; ITS; cameras; computer vision; intelligent transport system; processor speed; traffic detection; traffic scene understanding; video processing techniques; vision-based vehicle detection technique; vision-based vehicle tracking technique; Computer vision; Pattern recognition; Solid modeling; Three-dimensional displays; Tracking; Vehicle detection; Vehicles; computer vision; intelligent transportation system; vehicle detection; vehicle tracking; video processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Electronics and Safety (ICVES), 2013 IEEE International Conference on
  • Conference_Location
    Dongguan
  • Type

    conf

  • DOI
    10.1109/ICVES.2013.6619606
  • Filename
    6619606