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{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},
}