• DocumentCode
    2133233
  • Title

    Detection of playfield with shadow and its application to player tracking

  • Author

    Liu, Wanyu ; Guo, Maozu ; Wanyu Liu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Playfield detection is a key technology for content analysis in sports video, on which many semantic clue mining methods rely. However, shadow produced by substantial illumination change causes the general detection method fail and degenerate the performance of the following processing based on it. This paper presents a method for detecting playfield, which can find shadow region under the guidance of the intrinsic image proposed by Finlayson. Firstly, this method automatically finds the dominant color; secondly, according to the dominant color and the intrinsic image, it determines the playfield colors. At last, we apply it to player tracking in soccer video. Experimental results show that the proposed method can handle the problem brought by shadow and improve the performance of the application based on it.
  • Keywords
    data mining; image colour analysis; object detection; object tracking; sport; video signal processing; content analysis; dominant color; intrinsic image; player tracking; playfield colors; playfield detection; semantic clue mining methods; shadow region; sports video; substantial illumination change; Calibration; Gaussian distribution; Histograms; Image color analysis; Image segmentation; Lighting; Reflectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning for Signal Processing (MLSP), 2011 IEEE International Workshop on
  • Conference_Location
    Santander
  • ISSN
    1551-2541
  • Print_ISBN
    978-1-4577-1621-8
  • Electronic_ISBN
    1551-2541
  • Type

    conf

  • DOI
    10.1109/MLSP.2011.6064621
  • Filename
    6064621