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Vehicle Classification Algorithm using Size and Shape

Daramola, S. A. and Ademola, A. (2016) Vehicle Classification Algorithm using Size and Shape. International Journal of Soft Computing and Engineering, 6 (1). pp. 78-81. ISSN 2231-2307

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Abstract

Automatic classification of vehicles into different classes based on their sizes and shapes is very useful for traffic control and toll collection process. Effective intelligent transportation system that incorporates vehicle classification technique is needed in many cities to prevent road accident and traffic congestion caused by illegal movement of vehicles. This work presents method of getting structural information from detected vehicle images and then uses it to classify vehicles into different classes. The technique involves extraction of contour features from vehicle images side view using morphological operations. The extracted features were combined and used to generate feature vector that serve as input data to vehicle classification algorithm based on Euclidean distance measure. Impressive result was achieved from the proposed vehicle classification method.

Item Type: Article
Uncontrolled Keywords: Vehicle, Shape, Size, Features, Boundary, Classification.
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 13 Apr 2016 13:19
Last Modified: 13 Apr 2016 13:19
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/6549

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