Vehicle classification and speed estimation using Computer Vision techniques

Autores
Yabo, Agustín; Arroyo, Sebastián I.; Safar, Félix G.; Oliva, Damián
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work, we implement a real-time vehicle classification and speed estimation system and apply it to videos acquired from traffic cameras installed in highways. In this approach we: a) Detect moving vehicles through backgroundforeground segmentation techniques. b) Compare different supervised classifiers (e.g. artificial neural networks) for vehicle classification into categories: (car, motorcycle, van, and bus/truck). c) Apply a calibration method to georeference vehicles using satellite images. d) Estimate vehicles speed per class using feature tracking and nearest neighbors algorithms.
Facultad de Ingeniería
Materia
Ingeniería
Informática
sistemas de control
speed estimation, computer vision, traffic camera, feature tracking, vehicle classification
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/56425
Acceder
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network_name_str SEDICI (UNLP)
spelling Vehicle classification and speed estimation using Computer Vision techniquesYabo, AgustínArroyo, Sebastián I.Safar, Félix G.Oliva, DamiánIngenieríaInformáticasistemas de controlspeed estimation, computer vision, traffic camera, feature tracking, vehicle classificationIn this work, we implement a real-time vehicle classification and speed estimation system and apply it to videos acquired from traffic cameras installed in highways. In this approach we: a) Detect moving vehicles through backgroundforeground segmentation techniques. b) Compare different supervised classifiers (e.g. artificial neural networks) for vehicle classification into categories: (car, motorcycle, van, and bus/truck). c) Apply a calibration method to georeference vehicles using satellite images. d) Estimate vehicles speed per class using feature tracking and nearest neighbors algorithms.Facultad de Ingeniería2016-11-03info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/56425enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-99994-9-7info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:47:30Zoai:sedici.unlp.edu.ar:10915/56425Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:47:30.596SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Vehicle classification and speed estimation using Computer Vision techniques
title Vehicle classification and speed estimation using Computer Vision techniques
spellingShingle Vehicle classification and speed estimation using Computer Vision techniques
Yabo, Agustín
Ingeniería
Informática
sistemas de control
speed estimation, computer vision, traffic camera, feature tracking, vehicle classification
title_short Vehicle classification and speed estimation using Computer Vision techniques
title_full Vehicle classification and speed estimation using Computer Vision techniques
title_fullStr Vehicle classification and speed estimation using Computer Vision techniques
title_full_unstemmed Vehicle classification and speed estimation using Computer Vision techniques
title_sort Vehicle classification and speed estimation using Computer Vision techniques
dc.creator.none.fl_str_mv Yabo, Agustín
Arroyo, Sebastián I.
Safar, Félix G.
Oliva, Damián
author Yabo, Agustín
author_facet Yabo, Agustín
Arroyo, Sebastián I.
Safar, Félix G.
Oliva, Damián
author_role author
author2 Arroyo, Sebastián I.
Safar, Félix G.
Oliva, Damián
author2_role author
author
author
dc.subject.none.fl_str_mv Ingeniería
Informática
sistemas de control
speed estimation, computer vision, traffic camera, feature tracking, vehicle classification
topic Ingeniería
Informática
sistemas de control
speed estimation, computer vision, traffic camera, feature tracking, vehicle classification
dc.description.none.fl_txt_mv In this work, we implement a real-time vehicle classification and speed estimation system and apply it to videos acquired from traffic cameras installed in highways. In this approach we: a) Detect moving vehicles through backgroundforeground segmentation techniques. b) Compare different supervised classifiers (e.g. artificial neural networks) for vehicle classification into categories: (car, motorcycle, van, and bus/truck). c) Apply a calibration method to georeference vehicles using satellite images. d) Estimate vehicles speed per class using feature tracking and nearest neighbors algorithms.
Facultad de Ingeniería
description In this work, we implement a real-time vehicle classification and speed estimation system and apply it to videos acquired from traffic cameras installed in highways. In this approach we: a) Detect moving vehicles through backgroundforeground segmentation techniques. b) Compare different supervised classifiers (e.g. artificial neural networks) for vehicle classification into categories: (car, motorcycle, van, and bus/truck). c) Apply a calibration method to georeference vehicles using satellite images. d) Estimate vehicles speed per class using feature tracking and nearest neighbors algorithms.
publishDate 2016
dc.date.none.fl_str_mv 2016-11-03
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/56425
url http://sedici.unlp.edu.ar/handle/10915/56425
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-99994-9-7
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 12.982451

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