Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost

This paper presents the implementation and comparison of algorithms for support vector machines “SVM” and AdaBoost in the classification of public and private vehicles using segmented images of video sequences taken in Bogotá city. Using as tools the OpenCV libraries implemented in C. The algorithms...

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Autores:
Calderon, Francisco
Parra, Carlos Alberto
Tipo de recurso:
Article of journal
Fecha de publicación:
2013
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/3921
Acceso en línea:
http://revistas.uan.edu.co/index.php/ingeuan/article/view/348
http://repositorio.uan.edu.co/handle/123456789/3921
Palabra clave:
AdaBoost
Binary Trees
OpenCV
Pattern recognition
SVM
Traffic engineering
Vehicles classification
AdaBosst
árboles binarios
OpenCV
reconocimiento de patrones
SVM
Ingeniería de tráfico
clasificación de vehículos
Rights
openAccess
License
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
id UAntonioN2_5753e7538f8cda449003ebc22a36be20
oai_identifier_str oai:repositorio.uan.edu.co:123456789/3921
network_acronym_str UAntonioN2
network_name_str Repositorio UAN
repository_id_str
spelling Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)Acceso abiertohttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Calderon, FranciscoParra, Carlos Alberto2021-06-16T13:53:03Z2021-06-16T13:53:03Z2013-09-09http://revistas.uan.edu.co/index.php/ingeuan/article/view/348http://repositorio.uan.edu.co/handle/123456789/3921This paper presents the implementation and comparison of algorithms for support vector machines “SVM” and AdaBoost in the classification of public and private vehicles using segmented images of video sequences taken in Bogotá city. Using as tools the OpenCV libraries implemented in C. The algorithms performances are remarkable and therefore its use could have a positive impact in the reduction of traffic problems.Este artículo presenta el diseño e implementación y comparación de algoritmos para la clasificación de vehículos privados y públicos en Bogotá. El desempeño de estos algoritmos de clasificación es notable, y vale la pena anotar el impacto potencial que tendrían en la reducción de problemas de tráfico. Los datos experimentales fueron imágenes segmentadas de vídeos tomados sobre el tráfico en la ciudad de Bogotá. Por otro lado, los algoritmos que se utilizaron son máquinas de aprendizaje como Support Vector Machines “SVM” y Adaboost. Vale la pena notar, que se hizo uso de las librerías OpenCV implementadas en C.application/pdfspaUniversidad Antonio Nariñohttp://revistas.uan.edu.co/index.php/ingeuan/article/view/348/2902346-14462145-0935INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 3 Núm. 5 (2012)AdaBoostBinary TreesOpenCVPattern recognitionSVMTraffic engineeringVehicles classificationAdaBosstárboles binariosOpenCVreconocimiento de patronesSVMIngeniería de tráficoclasificación de vehículosPublic And Private Service Vehicle Classification In Bogotá using SVM and AdaBoostinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85123456789/3921oai:repositorio.uan.edu.co:123456789/39212024-10-09 22:34:46.028https://creativecommons.org/licenses/by-nc-sa/4.0/Acceso abiertometadata.onlyhttps://repositorio.uan.edu.coRepositorio Institucional UANalertas.repositorio@uan.edu.co
dc.title.es-ES.fl_str_mv Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost
title Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost
spellingShingle Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost
AdaBoost
Binary Trees
OpenCV
Pattern recognition
SVM
Traffic engineering
Vehicles classification
AdaBosst
árboles binarios
OpenCV
reconocimiento de patrones
SVM
Ingeniería de tráfico
clasificación de vehículos
title_short Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost
title_full Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost
title_fullStr Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost
title_full_unstemmed Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost
title_sort Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost
dc.creator.fl_str_mv Calderon, Francisco
Parra, Carlos Alberto
dc.contributor.author.spa.fl_str_mv Calderon, Francisco
Parra, Carlos Alberto
dc.subject.en-US.fl_str_mv AdaBoost
Binary Trees
OpenCV
Pattern recognition
SVM
Traffic engineering
Vehicles classification
topic AdaBoost
Binary Trees
OpenCV
Pattern recognition
SVM
Traffic engineering
Vehicles classification
AdaBosst
árboles binarios
OpenCV
reconocimiento de patrones
SVM
Ingeniería de tráfico
clasificación de vehículos
dc.subject.es-ES.fl_str_mv AdaBosst
árboles binarios
OpenCV
reconocimiento de patrones
SVM
Ingeniería de tráfico
clasificación de vehículos
description This paper presents the implementation and comparison of algorithms for support vector machines “SVM” and AdaBoost in the classification of public and private vehicles using segmented images of video sequences taken in Bogotá city. Using as tools the OpenCV libraries implemented in C. The algorithms performances are remarkable and therefore its use could have a positive impact in the reduction of traffic problems.
publishDate 2013
dc.date.issued.spa.fl_str_mv 2013-09-09
dc.date.accessioned.none.fl_str_mv 2021-06-16T13:53:03Z
dc.date.available.none.fl_str_mv 2021-06-16T13:53:03Z
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.none.fl_str_mv http://revistas.uan.edu.co/index.php/ingeuan/article/view/348
dc.identifier.uri.none.fl_str_mv http://repositorio.uan.edu.co/handle/123456789/3921
url http://revistas.uan.edu.co/index.php/ingeuan/article/view/348
http://repositorio.uan.edu.co/handle/123456789/3921
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv http://revistas.uan.edu.co/index.php/ingeuan/article/view/348/290
dc.rights.none.fl_str_mv Acceso abierto
dc.rights.license.spa.fl_str_mv Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Acceso abierto
https://creativecommons.org/licenses/by-nc-sa/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Antonio Nariño
dc.source.none.fl_str_mv 2346-1446
2145-0935
dc.source.es-ES.fl_str_mv INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 3 Núm. 5 (2012)
institution Universidad Antonio Nariño
repository.name.fl_str_mv Repositorio Institucional UAN
repository.mail.fl_str_mv alertas.repositorio@uan.edu.co
_version_ 1814300291456040960

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