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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Detalles Bibliográficos
Autores principales:	Calderon, Francisco, Parra, Carlos Alberto
Formato:	Digital
Lenguaje:	spa
Publicado:	UNIVERSIDAD ANTONIO NARIÑO 2013
Materias:	AdaBosst árboles binarios OpenCV reconocimiento de patrones SVM Ingeniería de tráfico clasificación de vehículos AdaBoost Binary Trees Pattern recognition Traffic engineering Vehicles classification
Acceso en línea:	https://revistas.uan.edu.co/index.php/ingeuan/article/view/348
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Sumario:	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.