Visually Tracking Football Games Based on TV Broadcasts
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2066-2070.
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.
@inproceedings{ijcai2007p333,
title = {Visually Tracking Football Games Based on TV Broadcasts},
author = {Beetz, Michael and Gedikli, Suat and Bandouch, Jan and Kirchlechner, Bernhard and von Hoyningen-Huene, Nico and Perzylo, Alexander Clifford},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2066--2070},
year = {2007},
url = {https://ijcai.org/proceedings/2007/333},
}
TY - CPAPER TI - Visually Tracking Football Games Based on TV Broadcasts AU - Beetz, Michael AU - Gedikli, Suat AU - Bandouch, Jan AU - Kirchlechner, Bernhard AU - von Hoyningen-Huene, Nico AU - Perzylo, Alexander Clifford T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2066 EP - 2070 UR - https://ijcai.org/proceedings/2007/333 ER -Copied
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