Sensors 2013, 13(7), 8222-8238; doi:10.3390/s130708222
Article

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; in revised form: 7 June 2013 / Accepted: 20 June 2013 / Published: 27 June 2013
PDF Full-text Download PDF Full-Text [3494 KB, uploaded 27 June 2013 10:05 CEST]
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.
Keywords: re-identification; surveillance; RGB-D; depth

Supplementary Files

  • Supplementary File 1:

    Note (PDF, 4 KB)

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

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.

AMA Style

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(7):8222-8238.

Chicago/Turabian Style

Lorenzo-Navarro, Javier; Castrillón-Santana, Modesto; Hernández-Sosa, Daniel. 2013. "On the Use of Simple Geometric Descriptors Provided by RGB-D Sensors for Re-Identification." Sensors 13, no. 7: 8222-8238.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert