http://www.cnr.it/ontology/cnr/individuo/prodotto/ID52621
SIFT based Ball Recognition in Soccer Images (Articolo in rivista)
- Type
- Label
- SIFT based Ball Recognition in Soccer Images (Articolo in rivista) (literal)
- Anno
- 2008-01-01T00:00:00+01:00 (literal)
- Alternative label
M. Leo,T. D'Orazio, P. Spagnolo, P.L. Mazzeo, A. Distante (2008)
SIFT based Ball Recognition in Soccer Images
in Lecture notes in computer science
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- M. Leo,T. D'Orazio, P. Spagnolo, P.L. Mazzeo, A. Distante (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- SIFT based Ball Recognition in Soccer Images (literal)
- Abstract
- In this paper a new method for ball recognition in soccer images is proposed. It
combines Circular Hough Transform and Scale Invariant Feature Transform to
recognize the ball in each acquired frame. The method is invariant to image
scale, rotation, affine distortion, noise and changes in illumination. Compared
with classical supervised approaches, it is not necessary to build different
positive training sets to properly manage the great variance in ball appearances.
Moreover, it does not require the construction of negative training sets that, in a
context as soccer matches where many no-ball examples can be found, it can be
a tedious and long work. The proposed approach has been tested on a number
of image sequences acquired during real matches of the Italian Soccer Serie
A championship. Experimental results demonstrate a satisfactory capability of
the proposed approach to recognize the ball. (literal)
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- Autore CNR
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