• DocumentCode
    476259
  • Title

    A fast algorithm for measuring vehicle traffic parameters

  • Author

    Lee, Yu-Hua ; Lee, Yu-Tai

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Ching Yun Univ., Chingyun
  • Volume
    6
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    3061
  • Lastpage
    3066
  • Abstract
    In this paper, we propose a algorithm which can extract traffic information from the images automatically. The main purpose lies in utilizing existing traffic photography equipment, cooperating with this system to get vehicle numbers and vehicle speed information. During the process of extracting traffic information, we utilize the traffic image sequence input from camera. By analyzing the pixelspsila difference between consecutive image frames, we can get the moving objectpsilas characteristics and count the quantity of the passing vehicles.
  • Keywords
    image sequences; road traffic; traffic engineering computing; transportation; intelligent transportation system; traffic image sequence; traffic information; traffic photography equipment; vehicle speed information; vehicle traffic parameters; Cybernetics; Machine learning; Vehicles; ITS; computer vision; image processing; intelligent trasportation system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620934
  • Filename
    4620934