Technical University of Munich

@inproceedings{gedikli_adaptive_2007,
 author = {S Gedikli and J Bandouch and Nvon Hoyningen-Huene and B Kirchlechner and M Beetz},
 title = {An Adaptive Vision System for Tracking Soccer Players from Variable
	Camera Settings},
 booktitle = {Proceedings of the 5th International Conference on Computer Vision
	Systems ({ICVS)}},
 year = {2007},
 abstract = {In this paper we present {ASpoGAMo}, a vision system capable of estimating
	motion trajectories of soccer players taped on video. The system
	performs well in a multitude of application scenarios because of
	its adaptivity to various camera setups, such as single or multiple
	camera settings, static or dynamic ones. Furthermore, {ASpoGAMo}
	can directly process image streams taken from {TV} broadcast, and
	extract all valuable information despite scene interruptions and
	cuts between different cameras. The system achieves a high level
	of robustness through the use of modelbased vision algorithms for
	camera estimation and player recognition and a probabilistic multi-player
	tracking framework capable of dealing with occlusion situations typical
	in team-sports. The continuous interplay between these submodules
	is adding to both the reliability and the efficiency of the overall
	system.},
 keywords = {soccer},
}