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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15088
DC FieldValueLanguage
dc.contributor.authorLorenzo-Navarro, Javier
dc.contributor.authorCastrillón-Santana, Modesto
dc.contributor.authorHernández Sosa, José Daniel
dc.date.accessioned2015-11-24T15:42:17Z
dc.date.accessioned2018-06-15T09:21:34Z-
dc.date.available2015-11-24T15:42:17Z
dc.date.available2018-06-15T09:21:34Z-
dc.date.issued2012es
dc.identifier.isbn9783642353949
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10553/15088
dc.description.abstractRe-identi fication is commonly accomplished using appearance features based on salient points and color information. In this paper, we make an study on the use of di fferent features exclusively obtained from depth images captured with RGB-D cameras. The results achieved, using simple geometric features extracted in a top-view setup, seem to provide useful descriptors for the re-identi fication task.es
dc.languageenges
dc.relation.ispartofLecture Notes in Computer Science
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7657 LNCS, p. 200-207es
dc.subject120304 Inteligencia artificiales
dc.subject.otherRe-dentigicationes
dc.subject.otherSurveillancees
dc.subject.otherRGB-Des
dc.titleAn study on re-identification in RGB-D imageryes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference4th International Workshop on Ambient Assisted Living, IWAAL 2012
dc.identifier.doi10.1007/978-3-642-35395-6_28
dc.identifier.scopus84870868974
dc.contributor.authorscopusid15042453800
dc.contributor.authorscopusid22333278500
dc.contributor.authorscopusid6507124168
dc.identifier.absysnet716519
dc.description.lastpage207
dc.description.firstpage200
dc.relation.volume7657 LNCS
dc.investigacionIngeniería y Arquitecturaes
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Actas de congresoses
dc.date.coverdateDiciembre 2012
dc.identifier.conferenceidevents121454
dc.identifier.ulpgcSíes
dc.description.sjr0,323
dc.description.sjrqQ3
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-2834-2067-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.orcid0000-0003-3022-7698-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameLorenzo Navarro, José Javier-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
crisitem.author.fullNameHernández Sosa, José Daniel-
crisitem.event.eventsstartdate03-12-2012-
crisitem.event.eventsenddate05-12-2012-
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