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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Format: | Digital |
Language: | spa |
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UNIVERSIDAD ANTONIO NARIÑO
2013
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Online Access: | https://revistas.uan.edu.co/index.php/ingeuan/article/view/348 |
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author | Calderon, Francisco Parra, Carlos Alberto |
author_facet | Calderon, Francisco Parra, Carlos Alberto |
author_sort | Calderon, Francisco |
collection | OJS |
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. |
format | Digital |
id | revistas.uan.edu.co-article-348 |
institution | Revista INGE@UAN |
language | spa |
publishDate | 2013 |
publisher | UNIVERSIDAD ANTONIO NARIÑO |
record_format | ojs |
spelling | revistas.uan.edu.co-article-3482021-02-16T16:53:46Z Public And Private Service Vehicle Classification In Bogotá using SVM and AdaBoost Calderon, Francisco Parra, Carlos Alberto AdaBosst árboles binarios OpenCV reconocimiento de patrones SVM Ingeniería de tráfico clasificación de vehículos AdaBoost Binary Trees OpenCV Pattern recognition SVM Traffic engineering Vehicles classification 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. UNIVERSIDAD ANTONIO NARIÑO 2013-09-09 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uan.edu.co/index.php/ingeuan/article/view/348 INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 3 Núm. 5 (2012) 2346-1446 2145-0935 spa https://revistas.uan.edu.co/index.php/ingeuan/article/view/348/290 https://creativecommons.org/licenses/by-nc-sa/4.0 |
spellingShingle | AdaBosst árboles binarios OpenCV reconocimiento de patrones SVM Ingeniería de tráfico clasificación de vehículos AdaBoost Binary Trees OpenCV Pattern recognition SVM Traffic engineering Vehicles classification 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 | AdaBosst árboles binarios OpenCV reconocimiento de patrones SVM Ingeniería de tráfico clasificación de vehículos AdaBoost Binary Trees OpenCV Pattern recognition SVM Traffic engineering Vehicles classification |
topic_facet | AdaBosst árboles binarios OpenCV reconocimiento de patrones SVM Ingeniería de tráfico clasificación de vehículos AdaBoost Binary Trees OpenCV Pattern recognition SVM Traffic engineering Vehicles classification |
url | https://revistas.uan.edu.co/index.php/ingeuan/article/view/348 |
work_keys_str_mv | AT calderonfrancisco publicandprivateservicevehicleclassificationinbogotausingsvmandadaboost AT parracarlosalberto publicandprivateservicevehicleclassificationinbogotausingsvmandadaboost |