• DocumentCode
    2629769
  • Title

    An Automatic Calibration Method for PTZ Camera in Expressway Monitoring System

  • Author

    Dong, Rong ; Li, Bo ; Chen, Qi-mei

  • Author_Institution
    Commun. Technol. Res. Inst., Nanjing Univ., Nanjing, China
  • Volume
    6
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    636
  • Lastpage
    640
  • Abstract
    Camera vision calibration is the key technology of Video-based Traffic Monitoring System (VTMS). PTZ camera is used more and more widely in the VTMS for its high flexibility and mobility which also bring great difficulties in its calibration. This paper presented an automatic method of calibration for PTZ camera used in Expressway Monitoring System so that the system can implement calibration without any manual intervention as soon as the operator changes the situation of the camera. A novel model of traffic monitoring camera is given in the beginning, a theoretical framework is established, aimed at computing all the unknown parameters in the model. Test results using real data are described. Both accuracy and speed are reported. Implementation ways and steps of practical application in the project are given.
  • Keywords
    calibration; cameras; monitoring; traffic engineering computing; video signal processing; PTZ camera; automatic calibration; camera vision calibration; expressway monitoring system; theoretical framework; traffic monitoring camera; video-based traffic monitoring system; Calibration; Cameras; Communications technology; Computer science; Computerized monitoring; Condition monitoring; Motion estimation; Roads; Testing; Traffic control; Hough Transform; PTZ camera; camera calibration; corner detection; video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.763
  • Filename
    5170779