Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15084
Title: People counting with re-identification using depth cameras
Authors: Hernández Sosa, José Daniel 
Castrillón-Santana, Modesto 
Lorenzo Navarro, José Javier 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: People counting
Multisensor detection
Depth cameras
re-identification
Motion analysis
Issue Date: 2011
Abstract: Low cost real-time depth cameras offer new sensors for a wide field of applications apart from the gaming world. Other active research scenarios as for example surveillance, can take ad- vantage of the capabilities offered by this kind of sensors that integrate depth and visual information. In this paper, we present a system that operates in a novel application context for these devices, in troublesome scenarios where illumination conditions can suffer sudden changes. We focus on the people counting problem with re-identification and trajectory analysis.
URI: http://hdl.handle.net/10553/15084
ISBN: 978-1-84919-565-2
DOI: 10.1049/ic.2011.0113
Source: 4th International Conference on Imaging for Crime Detection and Prevention, London, 3-4 november (ICDP 2011) [ISBN 978-1-84919-565-2]
Appears in Collections:Actas de congresos
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