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  4. Take your Eyes off the Ball: Improving Ball-Tracking by Focusing on Team Play
 
research article

Take your Eyes off the Ball: Improving Ball-Tracking by Focusing on Team Play

Wang, Xinchao  
•
Ablavsky, Vitaly Henry  
•
Ben Shitrit, Horesh  
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2014
Computer Vision and Image Understanding

Accurate video-based ball tracking in team sports is important for automated game analysis, and has proven very difficult because the ball is often occluded by the players. In this paper, we propose a novel approach to addressing this issue by formulating the tracking in terms of deciding which player, if any, is in possession of the ball at any given time. This is very different from standard approaches that first attempt to track the ball and only then to assign possession. We will show that our method substantially increases performance when applied to long basketball and soccer sequences.

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Type
research article
DOI
10.1016/j.cviu.2013.11.010
Web of Science ID

WOS:000330752700007

Author(s)
Wang, Xinchao  
Ablavsky, Vitaly Henry  
Ben Shitrit, Horesh  
Fua, Pascal  
Date Issued

2014

Publisher

Elsevier

Published in
Computer Vision and Image Understanding
Volume

119

Start page

102

End page

115

Subjects

tracking

•

video analysis and event recognition

•

occlusion reasoning

•

behavior analysis

•

sports video

•

tracking the invisible

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
Available on Infoscience
March 20, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/90476
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