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Sensors 2013, 13(7), 8222-8238;

On the Use of Simple Geometric Descriptors Provided by RGB-D Sensors for Re-Identification

SIANI, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria 35017, Spain
Author to whom correspondence should be addressed.
Received: 25 March 2013 / Revised: 7 June 2013 / Accepted: 20 June 2013 / Published: 27 June 2013
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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. View Full-Text
Keywords: re-identification; surveillance; RGB-D; depth re-identification; surveillance; RGB-D; depth

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Lorenzo-Navarro, J.; Castrillón-Santana, M.; Hernández-Sosa, D. On the Use of Simple Geometric Descriptors Provided by RGB-D Sensors for Re-Identification. Sensors 2013, 13, 8222-8238.

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