Presentation | 2014-11-06 Vehicle Classification Using Geometric Pattern and A Neural Network for Toll way(SDN and Related Topics,Internet Architecture and Applications) Pachara Siriborirak, Kosin Chamnongthai, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Processing in payment at toll takes time, and sometimes causes traffic congestion in the highway. To determine prices of highway fee, the automatic system needs to classify vehicle type into sedan, truck, van, pickup and SUV. This paper proposes a vehicle classification method using geometric pattern and ANN for Toll way. This method initially converts a vehicle image into rectangles, and consider ratio among rectangles in the image. ANN is then used to classify vehicle types by using rectangles edge position. To evaluate the performance of proposed method, experiments with vehicle have been performed, and the results show reliable performance. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Vehicle classification / Geometric pattern / Artificial Neural Networks |
Paper # | IA2014-45 |
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Committee | IA |
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Conference Date | 2014/10/29(1days) |
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Registration To | Internet Architecture(IA) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Vehicle Classification Using Geometric Pattern and A Neural Network for Toll way(SDN and Related Topics,Internet Architecture and Applications) |
Sub Title (in English) | |
Keyword(1) | Vehicle classification |
Keyword(2) | Geometric pattern |
Keyword(3) | Artificial Neural Networks |
1st Author's Name | Pachara Siriborirak |
1st Author's Affiliation | Faculty of Engineering, King Mongkut's University of Technology() |
2nd Author's Name | Kosin Chamnongthai |
2nd Author's Affiliation | Faculty of Engineering, King Mongkut's University of Technology |
Date | 2014-11-06 |
Paper # | IA2014-45 |
Volume (vol) | vol.114 |
Number (no) | 286 |
Page | pp.pp.- |
#Pages | 58 |
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