• DocumentCode
    3269076
  • Title

    Vehicle Motion Tracking Using Symmetry of Vehicle and Background Subtraction

  • Author

    Unno, Hiroshi ; Ojima, Kouki ; Hayashibe, Keikichi ; Saji, Hitoshi

  • Author_Institution
    Shizuoka Univ., Shizuoka
  • fYear
    2007
  • fDate
    13-15 June 2007
  • Firstpage
    1127
  • Lastpage
    1131
  • Abstract
    We propose a new method of vehicle motion tracking. In our method, we use the template matching method for tracking. The template matching method has been used in many applications. In vehicle tracking, there are some problems, such as vehicle size change, occlusions, and shaded areas. To solve these problems, we divide and update the template at every frame by the background subtraction method. Moreover, we use the information that the front of the vehicle body is symmetric, and we remove areas other than the vehicle area and update the template correctly. We evaluate the efficacy of our method on several video frames.
  • Keywords
    image matching; motion estimation; optical tracking; road accidents; road traffic; road vehicles; traffic information systems; background subtraction; occlusion; road accident; road traffic; template matching; vehicle motion tracking; vehicle size change; video frame; Cameras; Data mining; Filters; Image processing; Noise reduction; Road accidents; Road safety; Road vehicles; Tracking; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2007 IEEE
  • Conference_Location
    Istanbul
  • ISSN
    1931-0587
  • Print_ISBN
    1-4244-1067-3
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2007.4290269
  • Filename
    4290269