artículo de publicación periódica.page.titleprefix
People counting using visible and infrared images

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dc.contributor.authorBiagini, Martín
dc.contributor.authorFilipic, Joaquín
dc.contributor.authorMas, Ignacio
dc.contributor.authorPose, Claudio D.
dc.contributor.authorGiribet, Juan I.
dc.contributor.authorParisi, Daniel
dc.dateinfo:eu-repo/date/embargoEnd/2022-10-31
dc.date.accessioned2021-05-31T13:35:58Z
dc.date.available2021-05-31T13:35:58Z
dc.date.issued2020-10
dc.description.abstract"We propose the use of convolutional neural networks (CNN) for counting and positioning people in visible and infrared images. Our data set is made of semi-artificial images created from real photographs taken from a drone using a dual FLIR camera. We compare the performance between CNN’s using 3 (RGB) and 4 (RGB+IR) channels, both under different lighting conditions. The 4-channel network responds better in all situations, particularly in cases of poor visible illumination that can be found in night scenarios. The proposed methodology could be applied to real situations when an extensive databank of 4-channel images will be available."en
dc.identifier.issn0925-2312
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/3504
dc.language.isoenen
dc.relationinformación: eu-repo/semantics/altIdentifier/doi/10.1016/j.neucom.2021.03.089
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectREDES NEURONALESes
dc.subjectPROCESAMIENTO DE IMAGENESes
dc.subjectPEATONESes
dc.subjectMULTITUDESes
dc.titlePeople counting using visible and infrared imagesen
dc.typeArtículos de Publicaciones Periódicases
dc.typeinfo:eu-repo/semantics/acceptedVersion
dspace.entity.typeArtículo de Publicación Periódica
itba.description.filiationFil: Biagini, Martín. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiationFil: Filipic, Joaquín. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiationFil: Mas, Ignacio. Consejo Nacional de Investigaciones Científicas y Técncas; Argentina.
itba.description.filiationFil: Pose, Claudio D. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina.
itba.description.filiationFil: Giribet, Juan I. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina.
itba.description.filiationFil: Giribet, Juan I. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
itba.description.filiationFil: Parisi, Daniel. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiationFil: Parisi, Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.

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