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preprint

Tracking Multiple Players using a Single Camera

Ben Shitrit, Horesh  
•
Raca, Mirko  
•
Fleuret, François  
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2013

It has been shown that multi-people tracking could be successfullly formulated as a Linear Program to process the output of multiple fixed and synchronized cameras with overlapping fields of view. In this paper, we extend this approach to the more challenging single-camera case and show that it yields excellent performance, even when the camera moves. We validate our approach on a number of basketball matches and argue that using a properly retrained people detector is key to producing the probabilities of presence that are used as input to the Linear Program.

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Type
preprint
Author(s)
Ben Shitrit, Horesh  
Raca, Mirko  
Fleuret, François  
Fua, Pascal  
Date Issued

2013

Publisher

Springer Verlag

Subjects

Monocular Tracking

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
Available on Infoscience
December 13, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/87442
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