Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/17849
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dc.contributor.authorVuong, Quoc C.en_US
dc.contributor.authorCastrillón-Santana, Modestoen_US
dc.date.accessioned2016-07-15T08:30:46Z-
dc.date.accessioned2018-06-18T06:44:39Z-
dc.date.available2016-07-15T08:30:46Z-
dc.date.available2018-06-18T06:44:39Z-
dc.date.issued2005en_US
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/17849-
dc.description.abstractCan automatic vision systems for pedestrian detection be improved by training them on perceptually-defined ROIs?es
dc.languageengen_US
dc.source8th Tübingen Perception Conference: TWK 2005en_US
dc.subject120304 Inteligencia artificiales
dc.titleImproving automatic pedestrian detection by means of human perceptionen_US
dc.typeinfo:eu-repo/semantics/conferenceobjecten_US
dc.typeConference posteren_US
dc.identifier.absysnet727988-
dc.investigacionIngeniería y Arquitecturaes
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Póster de congresosen_US
dc.identifier.ulpgces
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.parentorgIU de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
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