Technical University of Munich

@inproceedings{beetz_visually_2007,
 author = {M Beetz and S Gedikli and J Bandouch and B Kirchlechner and Nvon Hoyningen-Huene and A Perzylo},
 title = {Visually Tracking Football Games Based on {TV} Broadcasts},
 booktitle = {Proceedings of the Twentieth International Joint Conference on Artificial
	Intelligence ({IJCAI)}},
 year = {2007},
 abstract = {This paper describes {ASPOGAMO}, a visual tracking system that determines
	the coordinates and trajectories of football players in camera view
	based on {TV} broadcasts. To do so, {ASPOGAMO} solves a complex probabilistic
	estimation problem that consists of three subproblems that interact
	in subtle ways: the estimation of the camera direction and zoom factor,
	the tracking and smoothing of player routes, and the disambiguation
	of tracked players after occlusions. The paper concentrates on system
	aspects that make it suitable for operating under unconstrained conditions
	and in (almost) realtime. We report on results obtained in a public
	demonstration at {RoboCup} 2006 where we conducted extensive experiments
	with real data from live coverage of World Cup 2006 games in Germany.},
 keywords = {soccer},
}