Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15088
Title: An study on re-identification in RGB-D imagery
Authors: Lorenzo-Navarro, Javier 
Castrillón-Santana, Modesto 
Hernández Sosa, José Daniel 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Re-dentigication
Surveillance
RGB-D
Issue Date: 2012
Journal: Lecture Notes in Computer Science 
Conference: 4th International Workshop on Ambient Assisted Living, IWAAL 2012 
Abstract: 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
Source: 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
Appears in Collections:Actas de congresos
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