Detection and classification of football players with automatic generation of models.

Autor:	Go´mez, Jorge R., Jaraba, Elias Herrero, Montan˜e´s, Miguel Angel, Contreras, Francisco Marti´nez, Urun˜uela, Carlos Orrite
Předmět:	FOOTBALL players AUTOMATIC identification CLASSIFICATION SIGNAL detection FOOTBALL teams MOVEMENT sequences GAUSSIAN processes ALGORITHMS MATHEMATICAL models
Zdroj:	Optical Engineering; Jan2010, Vol. 49 Issue 1, p017005-017005-17, 1p
Abstrakt:	We focus on the automatic detection and classification of players in a football match. Our approach is not based on any a prioriknowledge 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. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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