Computerized Real-Time Analysis of Football Games

  • Authors:
  • Michael Beetz;Bernhard Kirchlechner;Martin Lames

  • Affiliations:
  • Technische Universität München;Technische Universität München;Universität Augsburg

  • Venue:
  • IEEE Pervasive Computing
  • Year:
  • 2005

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Abstract

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.