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dc.contributor.authorSuau Cuadros, Xavier
dc.contributor.authorRuiz Hidalgo, Javier
dc.contributor.authorCasas Pla, Josep Ramon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2012-09-26T10:23:04Z
dc.date.available2012-09-26T10:23:04Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationSuau, X.; Ruiz, J.; Casas, J. Oriented radial distribution on depth data: application to the detection of end-effectors. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "Proceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing". Kyoto: IEEE, 2012.
dc.identifier.urihttp://hdl.handle.net/2117/16580
dc.descriptionEnd-effectors are considered to be the main topological extremities of a given 3D body. Even if the nature of such body is not restricted, this paper focuses on the human body case. Detection of human extremities is a key issue in the human motion capture domain, being needed to initialize and update the tracker. Therefore, the effectiveness of human motion capture systems usually depends on the reliability of the obtained end-effectors. The increasing accuracy, low cost and easy installation of depth cameras has opened the door to new strategies to overcome the body pose estimation problem. With the objective of detecting the head, hands and feet of a human body, we propose a new local feature computed from depth data, which gives an idea of its curvature and prominence. Such feature is weighted depending on recent detections, providing also a temporal dimension. Based on this feature, some end-effector candidate blobs are obtained and classified into head, hands and feet according to three probabilistic descriptors.
dc.language.isoeng
dc.publisherIEEE
dc.subjectÀrees temàtiques de la UPC::So, imatge i multimèdia
dc.subjectÀrees temàtiques de la UPC::Informàtica::Infografia
dc.subject.lcshComputer animation
dc.titleOriented radial distribution on depth data: application to the detection of end-effectors
dc.typeConference lecture
dc.subject.lemacAnimació per ordinador
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
drac.iddocument10679094
dc.description.versionPreprint
upcommons.citation.authorSuau, X.; Ruiz, J.; Casas, J.
upcommons.citation.contributorIEEE International Conference on Acoustics, Speech, and Signal Processing
upcommons.citation.pubplaceKyoto
upcommons.citation.publishedtrue
upcommons.citation.publicationNameProceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing


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