• DocumentCode
    2486875
  • Title

    Real Time Recogniton and Tracking System of Multiple Vehicles

  • Author

    Chiu, Chung-Cheng ; Wang, Chun-Yi ; Ku, Min-Yu ; Lu, Yi-Bin

  • Author_Institution
    Dept. of Electr. Eng., Nat. Defense Univ., Taoyuan
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    478
  • Lastpage
    483
  • Abstract
    This paper proposed a real-time system to recognize and track multiple vehicles. The occlusion problem is solved by the occlusion segmentation method and then each vehicle is recognized according to their outlines and tracked by a tracking algorithm. The proposed recognition method uses the visual length, visual width, roof, windshield, and hood of vehicles to classify the vehicles to vans, utility vehicles, sedans, mini trucks, or large vehicles. Experiments obtained by using complex road scenes are reported, which demonstrate the validity of the method in terms of robustness, accuracy, and time responses
  • Keywords
    automated highways; computer graphics; image recognition; image segmentation; real-time systems; road vehicles; complex road scenes; multiple vehicles; occlusion segmentation; real time recognition; tracking algorithm; tracking system; Intelligent vehicles; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2006 IEEE
  • Conference_Location
    Tokyo
  • Print_ISBN
    4-901122-86-X
  • Type

    conf

  • DOI
    10.1109/IVS.2006.1689674
  • Filename
    1689674