• DocumentCode
    2557541
  • Title

    Adaptive lane finding in road traffic image analysis

  • Author

    Stewart, B.D. ; Reading, I. ; Thomson, M.S. ; Binnie, T.D. ; Dickinson, K.W. ; Wan, C.L.

  • Author_Institution
    Napier Univ., Edinburgh, UK
  • fYear
    1994
  • fDate
    26-28 Apr 1994
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    The application of image processing and computer vision techniques to the analysis of video sequences of traffic flow offers considerable improvements over the existing methods of traffic data collection. The key to the development of a road monitoring system based upon IA is adaptability. An adaptive system would ease installation of the equipment by aiding with its own initialisation. Such auto-initialisation is considered in this paper. Specifically the automatic location of road lanes. This task has benefits not just in the installation stage but throughout the operating period of the unit, as the ability to automatically locate lanes allows the system to re-calibrate itself in response to changing circumstances without the need for human intervention
  • Keywords
    adaptive systems; calibration; computer vision; image sequences; road traffic; traffic control; adaptive lane finding; adaptive system; auto-initialisation; automatic road lane location; computer vision; image processing; road traffic image analysis; self calibration; traffic flow; video sequences;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Road Traffic Monitoring and Control, 1994., Seventh International Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/cp:19940441
  • Filename
    385782