• DocumentCode
    2366696
  • Title

    Real-time image tracking for traffic monitoring

  • Author

    Tseng, Shung-Tsang ; Song, Kai-Tai

  • Author_Institution
    Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an image tracking system and its application to traffic parameter estimation at a road intersection. An active contour model is adopted to obtain vehicle locations of motorcycles as well as automobiles. Image location measurement is further incorporated with Kalman filter techniques to track the individual vehicle motion. To initialize image tracking at a junction, we propose a design based on the concept of contour growing. Traffic parameters such as vehicle speed and numbers of vehicles can be calculated with satisfactory accuracy. Actual CCD camera images of a busy junction were employed to verify the proposed method.
  • Keywords
    Kalman filters; computerised monitoring; image segmentation; optical tracking; parameter estimation; real-time systems; traffic engineering computing; traffic recording; CCD camera images; Kalman filter technique; active contour model; automobiles; contour growing; image location measurement; model-based image segmentation method; motorcycles; real-time image tracking; road intersection; traffic monitoring; traffic parameter estimation; vehicle motion tracking; vehicle numbers; vehicle speed; Active contours; Automobiles; Monitoring; Motion measurement; Motorcycles; Parameter estimation; Roads; Tracking; Traffic control; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
  • Print_ISBN
    0-7803-7389-8
  • Type

    conf

  • DOI
    10.1109/ITSC.2002.1041179
  • Filename
    1041179