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 principales: Calderon, Francisco, Parra, Carlos Alberto
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Publicado: Universidad Antonio Nariño 2021
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Acceso en línea:http://revistas.uan.edu.co/index.php/ingeuan/article/view/348
http://repositorio.uan.edu.co/handle/123456789/3921
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author Calderon, Francisco
Parra, Carlos Alberto
author_facet Calderon, Francisco
Parra, Carlos Alberto
author_sort Calderon, Francisco
collection DSpace
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.
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publisher Universidad Antonio Nariño
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spelling repositorio.uan.edu.co-123456789-39212024-10-09T22:34:46Z Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost Calderon, Francisco Parra, Carlos Alberto 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 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. 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. 2021-06-16T13:53:03Z 2021-06-16T13:53:03Z 2013-09-09 info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article http://purl.org/coar/version/c_970fb48d4fbd8a85 http://revistas.uan.edu.co/index.php/ingeuan/article/view/348 http://repositorio.uan.edu.co/handle/123456789/3921 spa http://revistas.uan.edu.co/index.php/ingeuan/article/view/348/290 Acceso abierto Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 application/pdf Universidad Antonio Nariño 2346-1446 2145-0935 INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 3 Núm. 5 (2012)
spellingShingle 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
Calderon, Francisco
Parra, Carlos Alberto
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
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_short Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost
title_sort public and private service vehicle classification in bogota using svm and adaboost
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
url http://revistas.uan.edu.co/index.php/ingeuan/article/view/348
http://repositorio.uan.edu.co/handle/123456789/3921
work_keys_str_mv AT calderonfrancisco publicandprivateservicevehicleclassificationinbogotausingsvmandadaboost
AT parracarlosalberto publicandprivateservicevehicleclassificationinbogotausingsvmandadaboost
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