Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/15073
Título: On the use of simple geometric descriptors provided by RGB-D sensors for re-identification
Autores/as: Lorenzo-Navarro, Javier 
Castrillón-Santana, Modesto 
Hernandez-Sosa, Daniel 
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: Re-identification
Surveillance
RGB-D
Depth
Fecha de publicación: 2013
Publicación seriada: Sensors 
Resumen: The re-identification problem has been commonly accomplished using appearance features based on salient points and color information. In this paper, we focus on the possibilities that simple geometric features obtained from depth images captured with RGB-D cameras may offer for the task, particularly working under severe illumination conditions. The results achieved for different sets of simple geometric features extracted in a top-view setup seem to provide useful descriptors for the re-identification task, which can be integrated in an ambient intelligent environment as part of a sensor network.
URI: http://hdl.handle.net/10553/15073
ISSN: 1424-8220
DOI: 10.3390/s130708222
Fuente: Sensors (Switzerland)[ISSN 1424-8220],v. 13, p. 8222-8238
Colección:Artículos
miniatura
Artículo
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Este elemento está sujeto a una licencia Licencia Creative Commons Creative Commons