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Visually Tracking Football Games Based on TV Broadcasts (bibtex)
Visually Tracking Football Games Based on TV Broadcasts (bibtex)
by M Beetz, S Gedikli, J Bandouch, B Kirchlechner, Nvon Hoyningen-Huene and A Perzylo
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.
Reference:
Visually Tracking Football Games Based on TV Broadcasts (M Beetz, S Gedikli, J Bandouch, B Kirchlechner, Nvon Hoyningen-Huene and A Perzylo), In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), 2007. 
Bibtex Entry:
@inproceedings{beetz07visually,
 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},
 year = {2007},
 booktitle = {Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI)},
 bib2html_pubtype = {Refereed Conference Paper},
 bib2html_rescat = {Game analysis},
 bib2html_groups = {IAS, FIPM, Aspogamo},
 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.},
}
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