• DocumentCode
    263426
  • Title

    Traffic Surveillance System Based on Computer Vision and its Application

  • Author

    Norpel, Davaadorj ; Dalaikhuu, Sodkhuu ; Tseveenjav, Khurelbaatar

  • Author_Institution
    Dept. of Electron., MUST, Ulaanbaatar, Mongolia
  • fYear
    2014
  • fDate
    12-14 July 2014
  • Firstpage
    101
  • Lastpage
    104
  • Abstract
    In this paper we propose a real-time traffic surveillance system using computer vision for tracking multiple vehicles from roadway images. We design an application program to monitor increasing congestion on roadway and problems. The application program is developed based on OpenCV library functions for the computer vision of the proposed monitoring algorithm. Our system sends traffic surveillance status to driver using GSM network. Additionally, we obtained the implementation of traffic monitoring system by using LED (Light-Emitting Diode) matrix display.
  • Keywords
    computer vision; real-time systems; surveillance; traffic information systems; GSM network; LED matrix display; OpenCV library functions; computer vision; light emitting diode matrix display; multiple vehicle tracking; real-time traffic surveillance system; roadway images; traffic monitoring system; traffic surveillance status; Educational institutions; Light emitting diodes; Streaming media; Surveillance; Traffic control; Vehicles; OpenCV; background subtraction; image processing; outdoor LED matrix diplay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubi-Media Computing and Workshops (UMEDIA), 2014 7th International Conference on
  • Conference_Location
    Ulaanbaatar
  • Print_ISBN
    978-1-4799-4267-1
  • Type

    conf

  • DOI
    10.1109/U-MEDIA.2014.68
  • Filename
    6916333