• DocumentCode
    1958881
  • Title

    Notice of Retraction
    Vehicle red-light violation detection base on region

  • Author

    Yanyue Chen ; Chenhui Yang

  • Author_Institution
    Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
  • Volume
    9
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    700
  • Lastpage
    703
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Red-light violation video detection is one of the critical techniques in the intelligent transportation system, it is superior to traditional detection methods in aspect of function and maintenance. According to the practice of crossroads and the characteristics of vehicles running red-light, this paper presents a vision vehicle detection algorithm based on detection region to detect moving vehicles, and then analysis movement trend for vehicles by processing. The system implements the correct judgment of running red-light with two steps of process above. The experiment results show that the algorithm not only satisfies the real time requirement but also detects red-light violation with a high accuracy.
  • Keywords
    computer vision; object detection; road vehicles; traffic engineering computing; transportation; intelligent transportation system; moving vehicle detection; vehicle red-light violation detection; vision vehicle detection algorithm; Image recognition; Vehicles; frame difference in hue; region detection; running red-light;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5565080
  • Filename
    5565080