Translator Disclaimer
1 January 2010 Detection and classification of football players with automatic generation of models
Author Affiliations +
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.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jorge Raul Gomez, Elias Herrero Jaraba, Miguel Angel Montañes, Francisco Martinez Contreras, and Carlos Orrite-Uruñuela "Detection and classification of football players with automatic generation of models," Optical Engineering 49(1), 017005 (1 January 2010).
Published: 1 January 2010


A region finding method to remove the noise from the...
Proceedings of SPIE (December 08 2015)
Color document analysis
Proceedings of SPIE (December 28 2001)
Toward natural fiducials for augmented reality
Proceedings of SPIE (March 22 2005)

Back to Top