• DocumentCode
    3441451
  • Title

    Automatic Camera Calibration Technique and its Application in Virtual Advertisement Insertion System

  • Author

    Li, Shijin ; Lu, Bing

  • Author_Institution
    Hohai Univ., Nanjing
  • fYear
    2007
  • fDate
    23-25 May 2007
  • Firstpage
    288
  • Lastpage
    292
  • Abstract
    This paper has proposed a novel approach to automatic camera calibration for the virtual advertisement insertion system. The presented technique can extract feature lines in the field automatically, through which the internal and exterior parameters of camera can be obtained. Firstly, the adaptive segmentation of color image is carried out to the football field images. Secondly, the feature lines are extracted by applying a multiple Hough transforms to the segmented images. The feature points in the image space which are corresponding to the reference coordinate of world are generated automatically from the intersections of the virtual grid-lines, which are used for automatic camera calibration. Then the advertisements can be inserted into the soccer field in the appointed positions according to these parameters. Experimental results have shown that this method can meet the needs of the virtual advertisement insertion system and be put into use in real application scenarios.
  • Keywords
    Hough transforms; calibration; cameras; feature extraction; image colour analysis; image segmentation; virtual reality; Hough transforms; adaptive segmentation; automatic camera calibration; color image; feature line extraction; football field images; multiple Hough transforms; soccer field; virtual advertisement insertion system; virtual grid-lines; Calibration; Cameras;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0737-8
  • Electronic_ISBN
    978-1-4244-0737-8
  • Type

    conf

  • DOI
    10.1109/ICIEA.2007.4318417
  • Filename
    4318417