1 January 2010 Detection and classification of football players with automatic generation of models
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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.
© (2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jorge Raul Gomez, Jorge Raul Gomez, Elias Herrero Jaraba, Elias Herrero Jaraba, Miguel Angel Montañes, Miguel Angel Montañes, Francisco Martinez Contreras, Francisco Martinez Contreras, Carlos Orrite-Uruñuela, Carlos Orrite-Uruñuela, } "Detection and classification of football players with automatic generation of models," Optical Engineering 49(1), 017005 (1 January 2010). https://doi.org/10.1117/1.3294885 . Submission:
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