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An Adaptive Vision System for Tracking Soccer Players from Various Camera Settings

Gedikli, Suat ; Bandouch, Jan ; Hoyningen-Huene, Nico von ; Kirchlechner, Bernhard ; Beetz, Michael

The 5th International Conference on Computer Vision Systems, 2007
Bielefeld, 21. - 24. März 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.


Schlagwörter: video analysis, state estimation, object recognition, object tracking, sport games
Beteiligte Einrichtung: Technische Fakultät, Arbeitsgruppen der Informatik
DDC-Sachgruppe: Datenverarbeitung, Informatik

Zitat-Vorschlag:
Gedikli, Suat ; Bandouch, Jan ; Hoyningen-Huene, Nico von ; Kirchlechner, Bernhard ; Beetz, Michael  (2007)  An Adaptive Vision System for Tracking Soccer Players from Various Camera Settings. The 5th International Conference on Computer Vision Systems, 2007


URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2007/9



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