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Self-calibration Based 3D Information Extraction and Application in Broadcast Soccer Video

  • Yang Liu
  • Dawei Liang
  • Qingming Huang
  • Wen Gao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3852)

Abstract

This paper proposes a new method based on self-calibration to estimate the ball’s 3D position in broadcast soccer video. According to the physical limitation, the ball’s 3D position is estimated through the camera position and the ball’s virtual shadow, which is the point of intersection between the playfield and the line through the camera’s optical center and the ball. First, the virtual shadow is computed by the homography between playfield and image plane. For the image having enough corresponding points, the map is determined directly; for those images not having enough these points, their homographies are estimated through global motion estimation. Then, based on self-calibrating for rotating and zooming camera, and the homography, the camera’s position in the playfield is estimated. Experiments show that the proposed method can extract ball’s 3D position information without referring to other object with assuming height and obtain promising results.

Keywords

Camera Position Broadcast Video Soccer Game Soccer Video Ball Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yang Liu
    • 1
  • Dawei Liang
    • 1
  • Qingming Huang
    • 2
  • Wen Gao
    • 1
    • 2
  1. 1.School of Computer Science and TechnologyHarbin Institute of TechnologyHarbinChina
  2. 2.Graduate SchoolChinese Academy of SciencesBeijingChina

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