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Machine Vision and Applications
Erschienen in: Machine Vision and Applications 8/2013

01.11.2013 | Original Paper

Accurate ball detection in soccer images using probabilistic analysis of salient regions

verfasst von: Marco Leo, Pier Luigi Mazzeo, Massimiliano Nitti, Paolo Spagnolo

Erschienen in: Machine Vision and Applications | Ausgabe 8/2013

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Abstract

Automatic sport video analysis has became one of the most attractive research fields in the areas of computer vision and multimedia technologies. In particular, there has been a boom in soccer video analysis research. This paper presents a new multi-step algorithm to automatically detect the soccer ball in image sequences acquired from static cameras. In each image, candidate ball regions are selected by analyzing edge circularity and then ball patterns are extracted representing locally affine invariant regions around distinctive points which have been highlighted automatically. The effectiveness of the proposed methodologies is demonstrated through a huge number of experiments using real balls under challenging conditions, as well as a favorable comparison with some of the leading approaches from the literature.
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Metadaten
Titel
Accurate ball detection in soccer images using probabilistic analysis of salient regions
verfasst von
Marco Leo
Pier Luigi Mazzeo
Massimiliano Nitti
Paolo Spagnolo
Publikationsdatum
01.11.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
Machine Vision and Applications / Ausgabe 8/2013
Print ISSN: 0932-8092
Elektronische ISSN: 1432-1769
DOI
https://doi.org/10.1007/s00138-013-0518-9

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