Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15073
Title: On the use of simple geometric descriptors provided by RGB-D sensors for re-identification
Authors: Lorenzo-Navarro, Javier 
Castrillón-Santana, Modesto 
Hernandez-Sosa, Daniel 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Re-identification
Surveillance
RGB-D
Depth
Issue Date: 2013
Journal: Sensors 
Abstract: 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
Source: Sensors (Switzerland)[ISSN 1424-8220],v. 13, p. 8222-8238
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