• DocumentCode
    3469248
  • Title

    Viedo-based Measure of Traffic Volume Parameter

  • Author

    He, Zhenxing ; Qin, Zhong ; Wen, Huiying

  • Author_Institution
    Taiyuan Univ. of Technol., Taiyuan
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    421
  • Lastpage
    425
  • Abstract
    The traffic volume parameters (TVP) measure is the premise to realize the intelligent traffic. In this paper, the video-based measure of TVP is proposed. First, set the detection region which is divided into initiative detection and tracking region. The existence of motion vehicle is tested in the initiative region, if the motion vehicles have appeared, the corners of motion vehicle are located and the state parameters of the motion vehicles are initialized. In the tracing region, the vehicles are traced, according to the kinetic consistency hypothesis of the rigid body, the objections are segmented based on their corners characteristic, in the end of tracing, the information such as the traffic flow and the average velocity etc are computed. The paper also propose corresponding acceleration algorithm of detecting the motion vehicles and locating the corners which speedup the measurement process.
  • Keywords
    motion compensation; traffic control; traffic information systems; video signal processing; intelligent traffic; kinetic consistency hypothesis; motion vehicle; traffic flow; traffic volume parameters; video-based measure; Communication system traffic control; Mechanical variables measurement; Motion analysis; Motion detection; Motion measurement; Smart pixels; Vehicle detection; Vehicles; Velocity measurement; Volume measurement; Corner Detection; Intelligence Traffic; Motion Tracing; Systems; Traffic Volume Parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4338599
  • Filename
    4338599