• DocumentCode
    2895935
  • Title

    Vehicle Abnormal Behavior Detection System Based on Video

  • Author

    Sang Hai-Feng ; Wang Hui ; Wu Dan-Yang

  • Author_Institution
    Inf. Sci. & Eng. Sch., Shenyang Univ. of Technol., Shenyang, China
  • Volume
    1
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    132
  • Lastpage
    135
  • Abstract
    With reference to the common vehicle abnormal behaviors, the article presents a video-based vehicle abnormal behavior detection system. on the basis of background subtraction methods to detect vehicles, the vehicle tracking and abnormal behavior identification was realized by building up information chain of tracked vehicles. the system solves effectively the problems of traditional method, such as losing detection and wrong matching. the experiments showed that the system could not only detect vehicle abnormal behavior correctly, but also calculate the traffic flow and count the number of vehicles which broke traffic rules accurately.
  • Keywords
    image segmentation; object detection; object tracking; road traffic; road vehicles; traffic engineering computing; video signal processing; abnormal behavior identification; background subtraction methods; losing detection; vehicle detection; vehicle tracking; video-based vehicle abnormal behavior detection system; wrong matching; Computer vision; Feature extraction; Real-time systems; Reliability; Solid modeling; Vehicle detection; Vehicles; abnormal behavior identification; traffic flow; vehicle detection; vehicle tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.41
  • Filename
    6406936