Vehicle classification method using compound kernel functions
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Conference Proceeding
Source Title
Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
First Page
275
Last Page
278
Publication Date
6-22-2018
Abstract
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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Digitial Object Identifier (DOI)
10.1109/ICASI.2018.8394586
Recommended Citation
Roxas, E. A., Vicerra, R. P., Dadios, E. P., & Bandala, A. A. (2018). Vehicle classification method using compound kernel functions. Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018, 275-278. https://doi.org/10.1109/ICASI.2018.8394586
Disciplines
Manufacturing | Mechanical Engineering
Keywords
Support vector machines; Kernel functions; Computer vision; Vehicles; Traffic monitoring
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