• DocumentCode
    2654450
  • Title

    Bidirectional roadway detection for traffic surveillance using online CCTV videos

  • Author

    Lee, Woochul ; Ran, Bin

  • Author_Institution
    Dept. of Civil & Eng., Wisconsin-Madison Univ., Madison, WI
  • fYear
    2006
  • fDate
    2006
  • Firstpage
    1556
  • Lastpage
    1561
  • Abstract
    This paper presents a robust roadway detection method by direction using online CCTV videos. In traffic surveillance using video/image processing, the roadway detection in the traffic scene not only improves efficiency of vehicle detection and tracking, but also reduces detection errors caused by objects peripheral to the roadway. The proposed method detects each traffic direction of the roadway separately in order to provide traffic information of both directions in a step-wise procedure. First, a roadway mask image of a traffic scene is created by accumulating moving parts in a difference image between two consequence input images. Next, a center line of the roadway is identified and used to divide the roadway mask into two parts. Roadways with different geometry types and traffic condition were studied. Experimental results show that the proposed method successfully separated the roadway directions
  • Keywords
    closed circuit television; object detection; road traffic; vehicles; video signal processing; video surveillance; bidirectional roadway detection; image processing; online CCTV video; roadway mask image; traffic surveillance; vehicle detection; vehicle tracking; video processing; Cameras; Intelligent transportation systems; Layout; Lighting; Motion detection; Object detection; Radio access networks; Surveillance; Traffic control; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    1-4244-0093-7
  • Electronic_ISBN
    1-4244-0094-5
  • Type

    conf

  • DOI
    10.1109/ITSC.2006.1707445
  • Filename
    1707445