Automatic detection and classification of football players

Authors:
Jorge R. Gómez;J. Elias Herrero-Jaraba;Miguel Montañés;Jesús Martinez-del-Rincon
Affiliations:
University of Zaragoza, Zaragoza;University of Zaragoza, Zaragoza;University of Zaragoza, Zaragoza;University of Zaragoza, Zaragoza
Venue:
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Year:
2007

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Abstract

Color segmentation of images usually requires a manual selection and classification of samples to train the system. This paper presents an automatic system that performs these tasks without the need of a long training, providing a useful tool to detect and identify figures. In real situations, it is necessary to repeat the training process if light conditions change, or if, in the same scenario, the colors of the figures and the background may have changed, being useful a fast training method. A direct application of this method is the detection and identification of football players.