• DocumentCode
    2721540
  • Title

    Robust camera calibration tool for video surveillance camera in urban environment

  • Author

    Lee, Sung Chun ; Nevatia, Ram

  • Author_Institution
    Inst. for Robot. & Intell. Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    62
  • Lastpage
    67
  • Abstract
    Video surveillance applications such as smart room and security system are prevailing nowadays. Camera calibration information (e.g. camera position, orientation, and focal length) is very useful for various surveillance systems because it can provide scene knowledge and limit search space for object detection or tracking. In this paper, we describe a camera calibration tool that does not require any calibration object or specific geometric objects by using vanishing points. In urban environment, vanishing points are easily obtainable since there exist many parallel lines such as street lines, light poles, buildings, etc in either outdoor or indoor scene images. Experimental results from various surveillance cameras are presented.
  • Keywords
    cameras; object detection; object tracking; video signal processing; video surveillance; camera calibration information; object detection; object tracking; robust camera calibration tool; security system; urban environment; video surveillance camera; Calibration; Cameras; Computer vision; Estimation; Urban areas; Video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
  • Conference_Location
    Colorado Springs, CO
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4577-0529-8
  • Type

    conf

  • DOI
    10.1109/CVPRW.2011.5981777
  • Filename
    5981777