Vehicle classification method using compound kernel functions

Vehicle classification method using compound kernel functions

The focus of this paper is to explore the use of the Support Vector Machine (SVM) classifier. Though several literatures have already discussed the idea of using this method in vehicle classification, however, SVM accuracy is limited on the type of Kernel function used. Each Kernel functions has the...

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Bibliographic Details
Main Authors: Roxas, Edison A., Vicerra, Ryan Rhay P., Dadios, Elmer P., Bandala, Argel A.
Format: text
Published: Animo Repository 2018
Subjects:
Support vector machines
Kernel functions
Computer vision
Vehicles
Traffic monitoring
Manufacturing
Mechanical Engineering
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2937
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Institution: De La Salle University
Description
Summary:The focus of this paper is to explore the use of the Support Vector Machine (SVM) classifier. Though several literatures have already discussed the idea of using this method in vehicle classification, however, SVM accuracy is limited on the type of Kernel function used. Each Kernel functions has their own characteristics and limitations that is highly dependent on its parameter. Thus, in order to overcome these limitations, a method of compounding Kernel function for vehicle classification is hereby implemented. © 2018 IEEE.

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