SIFT APPROACH FOR BALL RECOGNITION IN SOCCER IMAGES

M. Leo, T. D’Orazio, N. Mosca, A. Distante

2008

Abstract

In this paper a new method for ball recognition in soccer images is proposed. It detects the ball position in each frame but, differently from related previous approaches, it does not require a long and tedious phase to build different positive training sets in order to properly manage the great variance in ball appearance. Moreover it does not need any negative training set, avoiding the difficulties to build it that occur when, as in the soccer context, negative examples abound. A large number of experiments have been carried out on image sequences acquired during real matches of the Italian “Serie A” soccer championship. The reported experiments demonstrate the satisfactory capability of the proposed approach to recognize the ball.

Paper Citation

in Harvard Style

Leo M., D’Orazio T., Mosca N. and Distante A. (2008). SIFT APPROACH FOR BALL RECOGNITION IN SOCCER IMAGES . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 207-212. DOI: 10.5220/0001688702070212

in Bibtex Style

@conference{iceis08,
author={M. Leo and T. D’Orazio and N. Mosca and A. Distante},
title={SIFT APPROACH FOR BALL RECOGNITION IN SOCCER IMAGES},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={207-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001688702070212},
isbn={978-989-8111-37-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - SIFT APPROACH FOR BALL RECOGNITION IN SOCCER IMAGES
SN - 978-989-8111-37-1
AU - Leo M.
AU - D’Orazio T.
AU - Mosca N.
AU - Distante A.
PY - 2008
SP - 207
EP - 212
DO - 10.5220/0001688702070212