Paper Info
Title
Visually tracking football games based on TV broadcasts
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.
Year
Venue
Keywords
2007
IJCAI
system aspect,camera direction,complex probabilistic estimation problem,football player,live coverage,visual tracking system,football game,camera view,world cup,tv broadcast,extensive experiment,visual tracking
Field
DocType
Citations 
Football,Computer vision,Computer science,View based,Probabilistic estimation,Zoom,Smoothing,Artificial intelligence,Multimedia,Machine learning,Visual tracking system
Conference
18
PageRank 
References 
Authors
0.98
7
6
Name
Order
Citations
PageRank
Michael Beetz13784284.03
Suat Gedikli221110.52
Jan Bandouch31207.21
Bernhard Kirchlechner41077.57
Nico v. Hoyningen-Huene5372.32
Alexander Clifford Perzylo6786.55