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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| Format: | Article |
| Language: | English |
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Research India Publications
2015
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| Online Access: | http://irep.iium.edu.my/43043/ http://irep.iium.edu.my/43043/ http://irep.iium.edu.my/43043/1/Vehicle_classification.pdf |
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iium-43043 |
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eprints |
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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 |
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Digital Repository |
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Local University |
| institution |
International Islamic University Malaysia |
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IIUM Repository |
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Online Access |
| language |
English |
| topic |
TL Motor vehicles. Aeronautics. Astronautics |
| spellingShingle |
TL Motor vehicles. Aeronautics. Astronautics Saeed S, Almehmadi Tarig Htike@Muhammad Yusof, Zaw Zaw Automatic vehicle classification system |
| 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. |
| format |
Article |
| 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 |
| title |
Automatic vehicle classification system |
| title_short |
Automatic vehicle classification system |
| title_full |
Automatic vehicle classification system |
| title_fullStr |
Automatic vehicle classification system |
| title_full_unstemmed |
Automatic vehicle classification system |
| title_sort |
automatic vehicle classification system |
| publisher |
Research India Publications |
| publishDate |
2015 |
| url |
http://irep.iium.edu.my/43043/ http://irep.iium.edu.my/43043/ http://irep.iium.edu.my/43043/1/Vehicle_classification.pdf |
| first_indexed |
2023-09-18T21:01:18Z |
| last_indexed |
2023-09-18T21:01:18Z |
| _version_ |
1777410641562173440 |