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Structure based feature extraction in basketball zone-defense strategies

Structure based feature extraction in basketball zone-defense strategies

Zheng, Aihua, Ma, Jixin, Petridis, Miltos, Tang, Jin and Luo, Bin (2010) Structure based feature extraction in basketball zone-defense strategies. International Journal of Computer Science and Applications, 7 (3). pp. 18-32. ISSN 0972-9038

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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.

Item Type: Article
Additional Information: [1] Published in: International Journal of Computer Science and Applications (2010), Volume VII, Issue III - Special Issue on Multimedia - Applications and Processing. [2] The International Journal of Computer Science and Applications is an open access journal. [3] This research is supported in part by National Nature Science Foundation of China (No. 60772122).
Uncontrolled Keywords: feature extraction, graphical representation, structure relationship, video clip detection, basketball zone-defense
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Science
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
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Last Modified: 14 Oct 2016 09:11
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/4371

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