Publication:
Group Behavior Recognition Issue, Feature Analysis on Defending Pick and Roll Basketball Move

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Ios Press.

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Frontiers in Artificial Intelligence and Applications
243
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To cite this item, use the following identifier: https://hdl.handle.net/10016/18262

Abstract

The paper presents a group behavior representation and an application in the 2 vs. 2 basketball domain. Furthermore a set of forty features have been made from the raw information provided by the INEF12 Basketball Dataset. Moreover, from all these features we propose a selection using an algorithm to choose the best features to classify and predict the group behavior. The entire experimental test carried out with Hidden Markov Models algorithms could validate the proposed representation and features selection, in group behavior recognition and 2 vs. 2 basketball specific domain.

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Proceedings of: 16th Annual KES Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2012), San Sebastian, September 10-12, 2012

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Graña, M. et al. (eds.) (2011) Advances in Knowledge-Based and Intelligent Information and Engineering Systems, (Frontiers in Artificial Intelligence and Applications, 243), IOS Press, pp. 1001- 1010.

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