Utiliza este identificador para citar o vincular este elemento: http://hdl.handle.net/10553/15080
Títulos: Multi-Sensor people counting
Autores/as: Hernández Sosa, José Daniel 
Castrillón-Santana, Modesto 
Lorenzo Navarro, José Javier 
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: People counting
EKF
MHI
Laser sensors
Fecha de publicación: 2011
Resumen: 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.
URI: http://hdl.handle.net/10553/15080
DOI: 10.1007/978-3-642-21257-4_37
Aparece en la colección:Actas de Congresos

Archivos en este elemento:
Archivo Descripción TamañoFormato 
C074_LNCS_IBPRIA11_postprint.pdfPostprint1,9 MBAdobe PDFObserva/Abre
Muestra el registro completo del elemento

Citas SCOPUSTM   

1
actualizado el 09-abr-2018

Google ScholarTM

Verifica

Altmetric


Este elemento está sujeto a una licencia Licencia Creative Commons Creative Commons