http://www.cnr.it/ontology/cnr/individuo/prodotto/ID52634
Multi-view Player Action Recognition in Soccer Games (Articolo in rivista)
- Type
- Label
- Multi-view Player Action Recognition in Soccer Games (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Alternative label
M. Leo, T. D'Orazio, P. Spagnolo, P.L. Mazzeo, A.Distante (2009)
Multi-view Player Action Recognition in Soccer Games
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
- Multi-view Player Action Recognition in Soccer Games (literal)
- Abstract
- Human action recognition is an important research area in
the field of computer vision having a great number of real-world applications.
This paper presents a multi-view action recognition framework
able to extract human silhouette clues from different synchronized static
cameras and then to validate them by analyzing scene dynamics. Two
different algorithmic procedures were introduced: the first one performs,
in each acquired image, the neural recognition of the human body configuration
by using a novel mathematical tool called Contourlet transform.
The second procedure performs, instead, 3D ball and player motion analysis.
The outcomes of both procedures are then merged to accomplish
the final player action recognition task. Experiments were carried out
on several image sequences acquired during some matches of the Italian
\"Serie A\" soccer championship. (literal)
- Prodotto di
- Autore CNR
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