Multi-Sensor people counting


Autoria(s): Hernández Sosa, José Daniel; Castrillón-Santana, Modesto; Lorenzo Navarro, José Javier
Data(s)

24/11/2015

24/11/2015

2011

Resumo

<p>[EN]An accurate estimation of the number of people entering / leaving a controlled area is an interesting capability for automatic surveil- lance systems. Potential applications where this technology can be ap- plied include those related to security, safety, energy saving or fraud control. In this paper we present a novel con guration of a multi-sensor system combining both visual and range data specially suited for trou- blesome scenarios such as public transportation. The approach applies probabilistic estimation lters on raw sensor data to create intermediate level hypothesis that are later fused using a certainty-based integration stage. Promising results have been obtained in several tests performed on a realistic test bed scenario under variable lightning conditions.</p>

Identificador

http://hdl.handle.net/10553/15080

716470

<p>10.1007/978-3-642-21257-4_37</p>

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

<p>Pattern Recognition and Image Analysis. 5th Iberian Conference, IbPRIA 2011, Proceedings. Berlin: Springer, 2011 (Lecture Notes in Computer Science, ISSN 0302-9743; vol. 6669, pp. 321-328). ISBN 978-3642-21256-7. Online ISBN 978-3-642-21257-4</p>

Palavras-Chave #120304 Inteligencia artificial
Tipo

info:eu-repo/semantics/conferenceObject