• DocumentCode
    3801822
  • Title

    Traffic Monitoring and Control Using Machine Vision: A Survey

  • Author

    Rafael M. Inigo

  • Author_Institution
    The School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22901.
  • Issue
    3
  • fYear
    1985
  • Firstpage
    177
  • Lastpage
    185
  • Abstract
    The large increase in traffic density during the last 25 years in the US, Europe, and Japan has required the automation of some functions of traffic control and monitoring. Buried magnetic loops are widely used for this purpose, but there are functions such as incident detection, vehicle tracking, etc., which are not implementable with them. In addition, magnetic loops are not flexible. Image processing represents a potentially much more powerful tool for this application. Its main disadvantage is the high initial cost. Research in the area of machine vision for traffic monitoring and control is being actively pursued in several countries. This paper surveys current efforts.
  • Keywords
    "Condition monitoring","Machine vision","Vehicle detection","Automatic control","Europe","Automation","Traffic control","Computerized monitoring","Tracking loops","Image processing"
  • Journal_Title
    IEEE Transactions on Industrial Electronics
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.1985.350155
  • Filename
    4158617