Automatic vehicle classification system

The automatic vehicle classification system has emerged as an important field of study in image processing and machine vision technologies' implementation because of its variety of applications. Despite many alternative solutions for the classification issue, the vision-based approaches remain...

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Main Authors: Saeed S, Almehmadi Tarig, Htike@Muhammad Yusof, Zaw Zaw
Format: Article
Language:English
Published: Research India Publications 2015
Subjects:
Online Access:http://irep.iium.edu.my/43043/
http://irep.iium.edu.my/43043/1/Vehicle_classification.pdf
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author Saeed S, Almehmadi Tarig
Htike@Muhammad Yusof, Zaw Zaw
author_facet Saeed S, Almehmadi Tarig
Htike@Muhammad Yusof, Zaw Zaw
author_sort Saeed S, Almehmadi Tarig
building IIUM Repository
collection Online Access
description The automatic vehicle classification system has emerged as an important field of study in image processing and machine vision technologies' implementation because of its variety of applications. Despite many alternative solutions for the classification issue, the vision-based approaches remain the dominant solutions due to their ability to provide a larger number of parameters than other approaches. To date, several approaches with various methods have been implemented to classify vehicles. The fully automatic classification systems constitute a huge barrier for unmanned applications and advanced technologies. This project presents software for a vision-based vehicle classifier using multiple Viola-Jones detectors, moment invariants features, and a multi-layer perceptron neural network to distinguish between different classes. The results obtained in this project show the system’s ability to detect and locate vehicles perfectly in real time via live camera input.
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institution International Islamic University Malaysia
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language English
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publishDate 2015
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spelling iium-430432017-11-07T09:39:52Z http://irep.iium.edu.my/43043/ Automatic vehicle classification system Saeed S, Almehmadi Tarig Htike@Muhammad Yusof, Zaw Zaw TL Motor vehicles. Aeronautics. Astronautics The automatic vehicle classification system has emerged as an important field of study in image processing and machine vision technologies' implementation because of its variety of applications. Despite many alternative solutions for the classification issue, the vision-based approaches remain the dominant solutions due to their ability to provide a larger number of parameters than other approaches. To date, several approaches with various methods have been implemented to classify vehicles. The fully automatic classification systems constitute a huge barrier for unmanned applications and advanced technologies. This project presents software for a vision-based vehicle classifier using multiple Viola-Jones detectors, moment invariants features, and a multi-layer perceptron neural network to distinguish between different classes. The results obtained in this project show the system’s ability to detect and locate vehicles perfectly in real time via live camera input. Research India Publications 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/43043/1/Vehicle_classification.pdf Saeed S, Almehmadi Tarig and Htike@Muhammad Yusof, Zaw Zaw (2015) Automatic vehicle classification system. International Journal of Applied Engineering Research, 10 (8). pp. 19633-19646. ISSN 0973-4562 http://www.ripublication.com
spellingShingle TL Motor vehicles. Aeronautics. Astronautics
Saeed S, Almehmadi Tarig
Htike@Muhammad Yusof, Zaw Zaw
Automatic vehicle classification system
title Automatic vehicle classification system
title_full Automatic vehicle classification system
title_fullStr Automatic vehicle classification system
title_full_unstemmed Automatic vehicle classification system
title_short Automatic vehicle classification system
title_sort automatic vehicle classification system
topic TL Motor vehicles. Aeronautics. Astronautics
url http://irep.iium.edu.my/43043/
http://irep.iium.edu.my/43043/
http://irep.iium.edu.my/43043/1/Vehicle_classification.pdf