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Computerized Real-Time Analysis of Football Games
July-September 2005 (vol. 4 no. 3)
pp. 33-39
Michael Beetz, Technische Universit?t M?nchen
Bernhard Kirchlechner, Technische Universit?t M?nchen
Martin Lames, Universit?t Augsburg
Real-time game analysis systems must be able to automatically recognize intentional activities in a multiagent system with continually acting agents. To meet these demands, the authors developed the Football Interaction and Process Model and a software system that can acquire, interpret, and analyze this model. The system can acquire models of player skills, infer action-selection criteria, and determine player and team strengths and weaknesses. They tested it on the RoboCup simulation league and received promising results.

This article is part of a special issue on pervasive computing in sports.

Index Terms:
real-time positioning system, learning action models, interpretation of intentional activity
Citation:
Michael Beetz, Bernhard Kirchlechner, Martin Lames, "Computerized Real-Time Analysis of Football Games," IEEE Pervasive Computing, vol. 4, no. 3, pp. 33-39, July-Sept. 2005, doi:10.1109/MPRV.2005.53
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