Structure based feature extraction in basketball zone defence strategies

A. Zheng, J. Ma, Miltiadis Petridis, J. Tang, B. Luo

Research output: Contribution to journalArticle

Abstract

This paper proposes a framework for structure-based feature extraction in basketball zone-defense strategies. Firstly, a graphical representation for key-frames extracted from zone-defense video clips is introduced, where each key-frame is expressed in terms of a zone-defense graph, representing the positions of defenders and the ball. Secondly, defense-lines are defined and extracted from zone-defense graphs for each zone-defense strategy, based on which, a 10- dimentional feature vector with respect to the defense-lines is introduced to characterize the structure relationships. Experiments have been conducted for basketball zone-defense strategy detection on both simulated and real-life basketball zone-defense video database, which demonstrate the validation and practicability of such a structure based feature characterization, and, in particular, its robustness with respect to the disturbance of local transformation of subprime nodes in the graphs.
Original languageEnglish
Pages (from-to)18-32
Number of pages15
JournalInternational Journal of Computer Science and Applications
Volume7
Issue number3
Publication statusPublished - 1 Jan 2010

Keywords

  • Feature extraction
  • Graphical representation
  • Structure relationship
  • Video clip detection
  • Basketball zone-defense

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