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Clustering of Trajectory Data obtained from Soccer Game Records – A First Step to Behavioral Modeling –

  • Shoji Hirano
  • Shusaku Tsumoto

Abstract

Ball movement in a soccer game can be measured as a trajectory on two dimentional plane, which summarizes the tactic or strategy of game players. This paper gives a first step to extract knowledge about strategy of soccer game by using clustering of trajectory data, which consists of the following two steps. First, we apply a pairwise comparison of two trajectories using multiscale matching. Next, we apply rough-set based clustering technique to the similarity matrix obtained by the pairwise comparisons. Experimental results demonstrated that the method could discover some interesting pass patterns that may be associated with successful goals.

Keywords

Planar Curf Trajectory Data Pass Action Soccer Game Pass Sequence 
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 Science+Business Media, LLC 2008

Authors and Affiliations

  • Shoji Hirano
    • 1
  • Shusaku Tsumoto
    • 1
  1. 1.Shimane UniversityIzumoJapan

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