Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/15088
Título: An study on re-identification in RGB-D imagery
Autores/as: Lorenzo-Navarro, Javier 
Castrillón-Santana, Modesto 
Hernández Sosa, José Daniel 
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: Re-dentigication
Surveillance
RGB-D
Fecha de publicación: 2012
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 4th International Workshop on Ambient Assisted Living, IWAAL 2012 
Resumen: Re-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.
URI: http://hdl.handle.net/10553/15088
ISBN: 9783642353949
ISSN: 0302-9743
DOI: 10.1007/978-3-642-35395-6_28
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7657 LNCS, p. 200-207
Colección:Actas de congresos
miniatura
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