Automatic detection and classification of football players

Jorge R. Gomez, J. Elias Herrero-Jaraba, Miguel Montanes, Jesus Martinez-del-Rincon, Carlos Orrite-Urunuela

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationPROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING
EditorsRJP DeFigueiredo
Place of PublicationANAHEIM
PublisherACTA Press
Pages500-505
Number of pages6
ISBN (Print)978-0-88986-675-1
Publication statusPublished - 2007
Event9th IASTED International Conference on Signal and Image Processing - Honolulu, United States
Duration: 20 Aug 200722 Aug 2007

Conference

Conference9th IASTED International Conference on Signal and Image Processing
CountryUnited States
CityHonolulu
Period20/08/200722/08/2007

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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