Target tracking system using multiple cameras and bayesian estimation

Autores
González Dondo, Diego; Redolfi, Javier; Griffa, M.; Steiner, Guillermo; Canali, Luis Rafael
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In recent years, the increase in amount of camera networks available has led to the rise up of new techniques and applications of signal processing. In this work, an implementation of image sensor network, cameras, for mobile target tracking is shown. More specifically, it is performed an application of particle filter in a distributed way, based on leader agents for state estimation. Finally, simulations are presented, as well as a real experiment made with a camera network to track a mobile platform.
Fil: González Dondo, Diego. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Redolfi, Javier. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Griffa, M.. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Steiner, Guillermo. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Canali, Luis Rafael. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Peer Reviewed
Materia
Target Tracking
Particle Filter
Camera Network
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Attribution-NonCommercial-NoDerivatives 4.0 International
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/12648
Acceder
id RIAUTN_b147bb788ddd4df746676af1cde64128
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Target tracking system using multiple cameras and bayesian estimationGonzález Dondo, DiegoRedolfi, JavierGriffa, M.Steiner, GuillermoCanali, Luis RafaelTarget TrackingParticle FilterCamera NetworkIn recent years, the increase in amount of camera networks available has led to the rise up of new techniques and applications of signal processing. In this work, an implementation of image sensor network, cameras, for mobile target tracking is shown. More specifically, it is performed an application of particle filter in a distributed way, based on leader agents for state estimation. Finally, simulations are presented, as well as a real experiment made with a camera network to track a mobile platform.Fil: González Dondo, Diego. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.Fil: Redolfi, Javier. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.Fil: Griffa, M.. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.Fil: Steiner, Guillermo. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.Fil: Canali, Luis Rafael. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.Peer ReviewedIEEE LATIN AMERICA TRANSACTIONS2025-04-07T21:40:29Z2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfhttps://hdl.handle.net/20.500.12272/12648enginfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Luis Rafael Canalireponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:44:30Zoai:ria.utn.edu.ar:20.500.12272/12648instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:44:30.581Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Target tracking system using multiple cameras and bayesian estimation
title Target tracking system using multiple cameras and bayesian estimation
spellingShingle Target tracking system using multiple cameras and bayesian estimation
González Dondo, Diego
Target Tracking
Particle Filter
Camera Network
title_short Target tracking system using multiple cameras and bayesian estimation
title_full Target tracking system using multiple cameras and bayesian estimation
title_fullStr Target tracking system using multiple cameras and bayesian estimation
title_full_unstemmed Target tracking system using multiple cameras and bayesian estimation
title_sort Target tracking system using multiple cameras and bayesian estimation
dc.creator.none.fl_str_mv González Dondo, Diego
Redolfi, Javier
Griffa, M.
Steiner, Guillermo
Canali, Luis Rafael
author González Dondo, Diego
author_facet González Dondo, Diego
Redolfi, Javier
Griffa, M.
Steiner, Guillermo
Canali, Luis Rafael
author_role author
author2 Redolfi, Javier
Griffa, M.
Steiner, Guillermo
Canali, Luis Rafael
author2_role author
author
author
author
dc.subject.none.fl_str_mv Target Tracking
Particle Filter
Camera Network
topic Target Tracking
Particle Filter
Camera Network
dc.description.none.fl_txt_mv In recent years, the increase in amount of camera networks available has led to the rise up of new techniques and applications of signal processing. In this work, an implementation of image sensor network, cameras, for mobile target tracking is shown. More specifically, it is performed an application of particle filter in a distributed way, based on leader agents for state estimation. Finally, simulations are presented, as well as a real experiment made with a camera network to track a mobile platform.
Fil: González Dondo, Diego. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Redolfi, Javier. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Griffa, M.. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Steiner, Guillermo. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Canali, Luis Rafael. Universidad Tecnológica Nacional. Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Peer Reviewed
description In recent years, the increase in amount of camera networks available has led to the rise up of new techniques and applications of signal processing. In this work, an implementation of image sensor network, cameras, for mobile target tracking is shown. More specifically, it is performed an application of particle filter in a distributed way, based on leader agents for state estimation. Finally, simulations are presented, as well as a real experiment made with a camera network to track a mobile platform.
publishDate 2016
dc.date.none.fl_str_mv 2016
2025-04-07T21:40:29Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12272/12648
url https://hdl.handle.net/20.500.12272/12648
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Luis Rafael Canali
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Luis Rafael Canali
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv IEEE LATIN AMERICA TRANSACTIONS
publisher.none.fl_str_mv IEEE LATIN AMERICA TRANSACTIONS
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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