Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15756
DC FieldValueLanguage
dc.contributor.authorFreire-Obregon, D.
dc.contributor.authorCastrillon-Santana, M.
dc.contributor.authorRamon-Balmaseda, E.
dc.contributor.authorLorenzo-Navarro, J.
dc.date.accessioned2016-02-15T12:18:24Z
dc.date.accessioned2018-02-21T14:33:27Z-
dc.date.available2016-02-15T12:18:24Z
dc.date.available2018-02-21T14:33:27Z-
dc.date.issued2014es
dc.identifier.isbn9781479957514
dc.identifier.urihttp://hdl.handle.net/10553/15756
dc.description.abstractDuring the last decade, researchers have verified that clothing can provide information for gender recognition. However, before extracting features, it is necessary to segment the clothing region. We introduce a new clothes segmentation method based on the application of the GrabCut technique over a trixel mesh, obtaining very promising results for a close to real time system. Finally, the clothing features are combined with facial and head context information to outperform previous results in gender recognition with a public database.es
dc.languageenges
dc.relation.ispartof2014 IEEE International Conference on Image Processing, ICIP 2014
dc.source2014 IEEE International Conference on Image Processing, ICIP 2014 (7026007), p. 4972es
dc.subject120304 Inteligencia artificiales
dc.subject.otherClothinges
dc.subject.otherFeature extractiones
dc.subject.otherImage segmentationes
dc.subject.otherVisual databaseses
dc.titleAutomatic clothes segmentation for soft biometricses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.identifier.doi10.1109/ICIP.2014.7026007es
dc.identifier.scopus84945565603
dc.contributor.authorscopusid23396618800
dc.contributor.authorscopusid22333278500
dc.contributor.authorscopusid55348020700
dc.contributor.authorscopusid15042453800
dc.identifier.crisid12988;2806;40577;1729
dc.identifier.epage4972
dc.identifier.spage4972
dc.investigacionIngeniería y Arquitecturaes
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Actas de congresoes
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptDepartamento de Teleformación-
crisitem.author.deptInteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptInteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptInteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.orcid0000-0003-2378-4277-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.orcid0000-0002-2768-1729-
crisitem.author.orcid0000-0002-2834-2067-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
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