Camera-based observation of football games for analyzing multi-agent activities

Authors:
Michael Beetz;Nico v. Hoyningen-Huene;Jan Bandouch;Bernhard Kirchlechner;Suat Gedikli;Alexis Maldonado
Affiliations:
Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany
Venue:
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Year:
2006

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Abstract

This paper describes a camera-based observation system for football games that is used for the automatic analysis of football games and reasoning about multi-agent activity. The observation system runs on video streams produced by cameras set up for TV broadcasting. The observation system achieves reliability and accuracy through various mechanisms for adaptation, probabilistic estimation, and exploiting domain constraints. It represents motions compactly and segments them into classified ball actions.