Target tracking system using multiple cameras and bayesian estimation

Autores
González Dondo, Diego; Redolfi, Javier Andrés; Griffa, Marti; Steiner, Guillermo Max; 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. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina
Fil: Redolfi, Javier Andrés. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Griffa, Marti. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina
Fil: Steiner, Guillermo Max. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina
Fil: Canali, Luis Rafael. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina
Materia
Camera Network
Particle Filter
Target Tracking
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/75779
Acceder
id CONICETDig_6f3e10178905d946aa682d7a83fc3c91
oai_identifier_str oai:ri.conicet.gov.ar:11336/75779
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Target tracking system using multiple cameras and bayesian estimationGonzález Dondo, DiegoRedolfi, Javier AndrésGriffa, MartiSteiner, Guillermo MaxCanali, Luis RafaelCamera NetworkParticle FilterTarget Trackinghttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In 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. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; ArgentinaFil: Redolfi, Javier Andrés. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Griffa, Marti. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; ArgentinaFil: Steiner, Guillermo Max. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; ArgentinaFil: Canali, Luis Rafael. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; ArgentinaInstitute of Electrical and Electronics Engineers2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/75779González Dondo, Diego; Redolfi, Javier Andrés; Griffa, Marti; Steiner, Guillermo Max; Canali, Luis Rafael; Target tracking system using multiple cameras and bayesian estimation; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 6; 6-2016; 2713-27181548-0992CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/abstract/document/7555243/info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2016.7555243info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:35:31Zoai:ri.conicet.gov.ar:11336/75779instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:35:31.432CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
Camera Network
Particle Filter
Target Tracking
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 Andrés
Griffa, Marti
Steiner, Guillermo Max
Canali, Luis Rafael
author González Dondo, Diego
author_facet González Dondo, Diego
Redolfi, Javier Andrés
Griffa, Marti
Steiner, Guillermo Max
Canali, Luis Rafael
author_role author
author2 Redolfi, Javier Andrés
Griffa, Marti
Steiner, Guillermo Max
Canali, Luis Rafael
author2_role author
author
author
author
dc.subject.none.fl_str_mv Camera Network
Particle Filter
Target Tracking
topic Camera Network
Particle Filter
Target Tracking
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
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. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina
Fil: Redolfi, Javier Andrés. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Griffa, Marti. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina
Fil: Steiner, Guillermo Max. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina
Fil: Canali, Luis Rafael. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina
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 2016-06
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 http://hdl.handle.net/11336/75779
González Dondo, Diego; Redolfi, Javier Andrés; Griffa, Marti; Steiner, Guillermo Max; Canali, Luis Rafael; Target tracking system using multiple cameras and bayesian estimation; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 6; 6-2016; 2713-2718
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/75779
identifier_str_mv González Dondo, Diego; Redolfi, Javier Andrés; Griffa, Marti; Steiner, Guillermo Max; Canali, Luis Rafael; Target tracking system using multiple cameras and bayesian estimation; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 6; 6-2016; 2713-2718
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/abstract/document/7555243/
info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2016.7555243
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846082815170445312
score 13.22299

Publicaciones similares