Where are the ball and players? Soccer game analysis with color-based tracking and image mosaick

  • Yongduek Seo
  • Sunghoon Choi
  • Hyunwoo Kim
  • Ki-Sang Hong
Poster Session C: Compression, Hardware & Software, Image Database, Neural Networks, Object Recognition & Reconstruction
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)


Knowing the locations of the players and the ball on a ground field is important for soccer game analysis. Given an image sequence, we address three main problems: 1) ground field extraction, 2) player and ball tracking and team identification and 3) absolute player positioning. The region of ground field is extracted on the basis of color information, within which all the other processing is restricted. Players are tracked by template matching and Kalman filtering. Occlusion reasoning is done by color histogram back-projection. To find the location of a player, afield model is constructed and a transformation between the input image and the field model is computed using feature points. Otherwise, an image-based mosaicking technique is applied. Using this image-to-model transformation, the absolute positions and the trajectories of players on the field model are determined. We tested our method on real image sequences and the experimental results are given.


Field Model Template Match Team Identification Color Histogram Absolute Position 
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 1997

Authors and Affiliations

  • Yongduek Seo
    • 1
  • Sunghoon Choi
    • 1
  • Hyunwoo Kim
    • 1
  • Ki-Sang Hong
    • 1
  1. 1.Dept. of EEPohang University of Science and TechnologyPohangRepublic of Korea

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