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Authors: M. Leo ; T. D’Orazio ; N. Mosca and A. Distante

Affiliation: Institute of Intelligent Systems for Automation, Italy

ISBN: 978-989-8111-37-1

Keyword(s): Pattern Recognition, Hough Transform, Motion Analysis, Invariant Features.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Intelligent Agents ; Internet Technology ; Strategic Decision Support Systems ; Web Information Systems and Technologies

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.

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Paper citation in several formats:
Leo M.; D’Orazio T.; Mosca N.; Distante A. and (2008). SIFT APPROACH FOR BALL RECOGNITION IN SOCCER IMAGES.In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS, ISBN 978-989-8111-37-1, pages 207-212. DOI: 10.5220/0001688702070212

@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 6: ICEIS,},
year={2008},
pages={207-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001688702070212},
isbn={978-989-8111-37-1},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: 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

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