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Robust Methods and Representations for Soccer Player Tracking and Collision Resolution

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Image and Video Retrieval (CIVR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3568))

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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.

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Author information

Authors and Affiliations

  1. UPIIA and Departament d’Informàtica, Bellaterra, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain

    Lluis Barceló & Xavier Binefa

  2. Department of Computer Science, Columbia University, New York, NY, 10027, USA

    John R. Kender

Authors
  1. Lluis Barceló
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  2. Xavier Binefa
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  3. John R. Kender
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, National University of Singapore, Computing 1, 117590, Singapore

    Wee-Kheng Leow

  2. LIACS Media Lab, Leiden University,  

    Michael S. Lew  & Erwin M. Bakker  & 

  3. National University of Singapore, 3 Science Dr, 117543, Singapore

    Tat-Seng Chua

  4. Microsoft Research Asia, 4F, Sigma Center, No.49, Zhichun Road, 100080, Beijing, P.R.China

    Wei-Ying Ma

  5. School of Computing, National University of Singapore, 3 Science Drive 2, 117543, Singapore

    Lekha Chaisorn

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© 2005 Springer-Verlag Berlin Heidelberg

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Barceló, L., Binefa, X., Kender, J.R. (2005). Robust Methods and Representations for Soccer Player Tracking and Collision Resolution. In: Leow, WK., Lew, M.S., Chua, TS., Ma, WY., Chaisorn, L., Bakker, E.M. (eds) Image and Video Retrieval. CIVR 2005. Lecture Notes in Computer Science, vol 3568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526346_27

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  • DOI: https://doi.org/10.1007/11526346_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27858-0

  • Online ISBN: 978-3-540-31678-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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