Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/16133
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dc.contributor.authorLorenzo Navarro, José Javieren_US
dc.contributor.authorCastrillón-Santana, Modestoen_US
dc.contributor.authorFreire-Obregón, Daviden_US
dc.contributor.authorRamón Balmaseda, Enrique Joséen_US
dc.date.accessioned2016-03-15T15:50:15Z-
dc.date.accessioned2018-06-15T09:22:43Z-
dc.date.available2016-03-15T15:50:15Z-
dc.date.available2018-06-15T09:22:43Z-
dc.date.issued2016en_US
dc.identifier.isbn978-1-4799-7079-7en_US
dc.identifier.urihttp://hdl.handle.net/10553/16133-
dc.description.abstractIn this paper, a clothes segmentation method for fashion parsing is described. This method does not rely in a previous pose estimation but people segmentation. Therefore, novel and classic segmentation techniques have been considered and improved in order to achieve accurate people segmentation. Unlike other methods described in the literature, the output is the bounding box and the predominant color of the different clothes and not a pixel level segmentation. The proposal is based on dividing the person area into an initial fixed number of stripes, that are later fused according to similar color distribution. To assess the quality of the proposed method the experiments are carried out with the Fashionista dataset that is widely used in the fashion parsing community.</p>es
dc.languageengen_US
dc.sourceIEEE International Conference on Multimedia & Expo Workshops (ICMEW), 29 june-3 july 2015, Turin, Italy [EISBN 978-1-4799-7079-7]en_US
dc.subject120304 Inteligencia artificiales
dc.titleStripe based clothes segmentationen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.identifier.doi10.1109/ICMEW.2015.7169791en_US
dc.identifier.absysnet720762-
dc.investigacionIngeniería y Arquitecturaes
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Actas de congresoen_US
item.grantfulltextopen-
item.fulltextCon texto completo-
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.deptDepartamento de Teleformación-
crisitem.author.deptInteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptInteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.orcid0000-0002-2834-2067-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.orcid0000-0003-2378-4277-
crisitem.author.orcid0000-0002-2768-1729-
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.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
Appears in Collections:Actas de Congresos
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