Accurate ball detection in soccer images using probabilistic analysis of salient regions (Articolo in rivista)

Type
Label
  • Accurate ball detection in soccer images using probabilistic analysis of salient regions (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/s00138-013-0518-9 (literal)
Alternative label
  • Leo, Marco; Mazzeo, Pier Luigi; Nitti, Massimiliano; Spagnolo, Paolo (2013)
    Accurate ball detection in soccer images using probabilistic analysis of salient regions
    in Machine vision and applications
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Leo, Marco; Mazzeo, Pier Luigi; Nitti, Massimiliano; Spagnolo, Paolo (literal)
Pagina inizio
  • 1561 (literal)
Pagina fine
  • 1574 (literal)
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  • Rivista Quartile Q2 (literal)
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  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84886783721&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 24 (literal)
Rivista
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  • 14 (literal)
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  • 8 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute of Optics, National Research Council of Italy, via della Libertà 3, 73010 Arnesano Lecce, Italy; Institute of Intelligent Systems for Automation, National Research Council of Italy, via Amendola 122, 70126 Bari, Italy (literal)
Titolo
  • Accurate ball detection in soccer images using probabilistic analysis of salient regions (literal)
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. (literal)
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