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Optical Engineering

Detection and classification of football players with automatic generation of models
Author(s): Jorge Raul Gomez; Elias Herrero Jaraba; Miguel Angel Montañes; Francisco Martinez Contreras; Carlos Orrite-Uruñuela
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Paper Abstract

We focus on the automatic detection and classification of players in a football match. Our approach is not based on any a priori knowledge of the outfits, but on the assumption that the two main uniforms detected correspond to the two football teams. The algorithm is designed to be able to operate in real time, once it has been trained, and is able to detect partially occluded players and update the color of the kits to cope with some gradual illumination changes through time. Our method, evaluated from real sequences, gave better detection and classification results than those obtained by a system using a manual selection of samples to compute a Gaussian mixture model.

Paper Details

Date Published: 1 January 2010
PDF: 17 pages
Opt. Eng. 49(1) 017005 doi: 10.1117/1.3294885
Published in: Optical Engineering Volume 49, Issue 1
Show Author Affiliations
Jorge Raul Gomez, Univ. de Zaragoza (Spain)
Elias Herrero Jaraba, Univ. de Zaragoza (Spain)
Miguel Angel Montañes, Univ. de Zaragoza (Spain)
Francisco Martinez Contreras, Univ. de Zaragoza (Spain)
Carlos Orrite-Uruñuela, Univ. de Zaragoza (Spain)

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