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dc.contributor.authorCanton Ferrer, Cristian
dc.contributor.authorCasas Pla, Josep Ramon
dc.contributor.authorPardàs Feliu, Montse
dc.contributor.authorSargin, M E
dc.contributor.authorTekalp, A M
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2014-07-30T11:15:17Z
dc.date.available2014-07-30T11:15:17Z
dc.date.created2006
dc.date.issued2006
dc.identifier.citationCanton, C. [et al.]. 3D human action recognition in multiple view scenarios. A: Jornades de Recerca en Automàtica, Visió i Robòtica. "2es Jornades de Recerca en Automàtica, Visió i Robòtica: 4, 5 i 6 de juliol de 2006". Barcelona: Universitat Politècnica de Catalunya (UPC), 2006, p. 1-5.
dc.identifier.isbn84-7653-885-5
dc.identifier.urihttp://hdl.handle.net/2117/23651
dc.description.abstractThis paper presents a novel view-independent approach to the recognition of human gestures of several people in low resolution sequences from multiple calibrated cameras. In contraposition with other multi-ocular gesture recognition systems based on generating a classification on a fusion of features coming from different views, our system performs a data fusion (3D representation of the scene) and then a feature extraction and classification. Motion descriptors introduced by Bobick et al. for 2D data are extended to 3D and a set of features based on 3D invariant statistical moments are computed. Finally, a Bayesian classifier is employed to perform recognition over a small set of actions. Results are provided showing the effectiveness of the proposed algorithm in a SmartRoom scenario.
dc.format.extent5 p.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya (UPC)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
dc.subject.lcshPattern recognition systems
dc.subject.lcshComputer vision
dc.subject.otherHuman gesture recognition
dc.subject.otherInformation fusion
dc.subject.other3D processing
dc.subject.otherMotion analysis
dc.title3D human action recognition in multiple view scenarios
dc.typeConference report
dc.subject.lemacReconeixement de formes (Informàtica)
dc.subject.lemacVisió per ordinador
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.cristiancanton.org/data/pubs/papers/2006-AVR-Canton.pdf
dc.rights.accessOpen Access
drac.iddocument2424097
dc.description.versionPostprint (published version)
upcommons.citation.authorCanton, C.; Casas, J.; Pardas, M.; Sargin, M.; Tekalp, A.
upcommons.citation.contributorJornades de Recerca en Automàtica, Visió i Robòtica
upcommons.citation.pubplaceBarcelona
upcommons.citation.publishedtrue
upcommons.citation.publicationName2es Jornades de Recerca en Automàtica, Visió i Robòtica: 4, 5 i 6 de juliol de 2006
upcommons.citation.startingPage1
upcommons.citation.endingPage5


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