Robust methods and representations for soccer player tracking and collision resolution

  • Authors:
  • Lluis Barceló;Xavier Binefa;John R. Kender

  • Affiliations:
  • UPIIA and Departament d’Informàtica, Bellaterra, Universitat Autònoma de Barcelona, Barcelona, Spain;UPIIA and Departament d’Informàtica, Bellaterra, Universitat Autònoma de Barcelona, Barcelona, Spain;Department of Computer Science, Columbia University, New York, NY

  • Venue:
  • CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
  • Year:
  • 2005

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Abstract

We present a method of tracking multiple players in a soccer match using video taken from a single fixed camera with pan, tilt and zoom. We extract a single mosaic of the playing field and robustly derive its homography to a playing field model, based on color information, line extraction, and a Hausdorff distance measure. Players are identified by color and shape, and tracked in the image mosaic space using a Kalman filter. The frequent occlusions of multiple players are resolved using a novel representation acted on by a rule-based method, which recognizes differences between removable and intrinsic ambiguities. We test the methods with synthetic and real data.