DYNAMIC CAMERA CALIBRATION OF ROADSIDE TRAFFIC MANAGEMENT CAMERAS

The authors of this paper present a new algorithm for calibrating roadside traffic management cameras. They describe a simplified camera model that is capable of producing good single vehicle speed estimates. In the paper they describe a detailed model of the roadway scene suitable for analysis by means of computer vision techniques. Using perpendicular information extracted from the vehicles themselves they estimate the position of the camera relative to the highway. They also explain how to find the orientation and focal length of the camera based on measurements of the road boundaries. Their work shows that uncalibrated surveillance video cameras can be used to augment inductance loops as traffic condition sensors or replace loop sensors where it is not cost effective to install inductance loops.

  • Supplemental Notes:
    • Publication Date: 2002. IEEE Service Center, Piscataway NJ
  • Corporate Authors:

    Guo li jiao tong da xue (China : Republic : 1949- )

    ,    

    University of Minnesota, Minneapolis

    Artificial Intelligence, Robotics, and Vision Lab
    Minneapolis, MN  United States  55455-0220

    University of Washington, Seattle

    Department of Electrical Engineering
    Seattle, WA  United States  98195

    University of Arizona, Tucson

    Center for Excellence in Advanced Traffic and Logistics Algorithms and Systems
    Tucson, AZ  United States  85721

    National Consortium for Remote Sensing in Transportation (U.S.)

    ,    

    National University of Singapore. Laboratories for Information Technology

    ,    

    Omron Corporation

    Traffic Solutions Division
    2-2-1, Nishikusatsu,
    Kusatsu-city, Shiga-prefecture  Japan  525-0035

    Ohio State University, Columbus

    Department of Electrical Engineering
    Columbus, OH  United States  43210
  • Authors:
    • Schoepflin, Todd N
    • Dailey, Daniel J
  • Conference:
  • Publication Date: 2002

Language

  • English

Media Info

  • Pagination: p. 25-30

Subject/Index Terms

Filing Info

  • Accession Number: 00974446
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Jun 2 2004 12:00AM