• DocumentCode
    1581828
  • Title

    Abnormal incident detection system employing image processing technology

  • Author

    Ikeda, Hiromi ; Kaneko, Yukihiro ; Matsuo, Toshihiro ; Tsuji, Kunihiko

  • Author_Institution
    Metropolitan Expressway Public Corp., Tokyo, Japan
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    748
  • Lastpage
    752
  • Abstract
    Reportedly, accidents and disabled cars accounted for 20% of all the causes of congestion on Metropolitan Expressway. For this reason, the Metropolitan Expressway Public Corporation (MEPC) had been called for earlier discovery of any abnormal incidents such as accidents, disabled cars, fallen objects, etc. to secure safety and alleviate congestion. To meet this demand, the MEPC has been putting forward a feasibility study for the introduction of an automatic abnormal incident detection system employing image processing technology. In 1997, it began operating the system on a trial basis in the tunnel sections of the expressway. This paper outlines the feasibility study we conducted on the experimental system including the results of various verification tests
  • Keywords
    accidents; computer vision; image classification; road traffic; traffic control; MEPC; Metropolitan Expressway; abnormal incident detection system; computer vision; image processing; road traffic control; Cameras; Communication industry; Image processing; Industrial accidents; Object detection; Road accidents; Road safety; Road vehicles; System testing; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7803-4975-X
  • Type

    conf

  • DOI
    10.1109/ITSC.1999.821154
  • Filename
    821154