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...
- 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)
| Summary: | 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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