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
1203 Ciencia de los ordenadores
Keywords: People counting
Multisensor detection
Depth cameras
re-identification
Motion analysis
Issue Date: 2011
Project: Tecnicas de Visión Para la Interacción en Entornos de Interior Con Elaboración Mapas Cognitivos en Sistemas Perceptuales Heterogéneos. 
Conference: 4th International Conference on Imaging for Crime Detection and Prevention (ICDP 2011) 
Abstract: All right reserved.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 advantage 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. Automatic people counting offers different application contexts related to security, safety, energy saving or fraud control. Here we go one step further and give hints to extract useful information using depth cameras. The processing of that information allows us to analyze the individuals behavior, particularly if they go away from the typical trajectory, and the problem of re-identifying people.
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)
Appears in Collections:Actas de congresos
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