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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Bibliographic Details

Main Authors:	Calderon, Francisco, Parra, Carlos Alberto
Format:	info:eu-repo/semantics/publishedVersion
Language:	spa
Published:	Universidad Antonio Nariño 2021
Subjects:	AdaBoost Binary Trees OpenCV Pattern recognition SVM Traffic engineering Vehicles classification AdaBosst árboles binarios reconocimiento de patrones Ingeniería de tráfico clasificación de vehículos
Online Access:	http://revistas.uan.edu.co/index.php/ingeuan/article/view/348 http://repositorio.uan.edu.co/handle/123456789/3921
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