Vehicle Classification and Counting for Vehicle Census
Vehicle classification has been significantly important to vehicle census as it provides traffic count information to reflect the traffic density of a particular roadway. However, it has been a time consuming and sophisticated task to classify different vehicles into the desired category. Beside...
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Universiti Teknikal Malaysia (UTEM)
2017
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| 在線閱讀: | http://ir.unimas.my/id/eprint/21885/1/Vehicle%20Classification.pdf http://ir.unimas.my/id/eprint/21885/ http://journal.utem.edu.my/index.php/jtec/article/view/3178 |
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my.unimas.ir.218852022-09-29T03:09:00Z http://ir.unimas.my/id/eprint/21885/ Vehicle Classification and Counting for Vehicle Census Chan, Dellas Su Chieng Wang, Yin Chai T Technology (General) Vehicle classification has been significantly important to vehicle census as it provides traffic count information to reflect the traffic density of a particular roadway. However, it has been a time consuming and sophisticated task to classify different vehicles into the desired category. Besides, the hardware-based technique used for classification leads to high cost of implementation and maintenance. Thus, we proposed an image processing based solution to extract the features of each vehicle in the traffic scene. The proposed framework incorporates a combination of detection, tracking and classification of vehicle to ensure high accuracy and performance for vehicle census. Experimental results show that our proposed framework can be applicable in real world applications. Universiti Teknikal Malaysia (UTEM) 2017 Article PeerReviewed text en http://ir.unimas.my/id/eprint/21885/1/Vehicle%20Classification.pdf Chan, Dellas Su Chieng and Wang, Yin Chai (2017) Vehicle Classification and Counting for Vehicle Census. Journal of Telecommunication, Electronic and Computer Engineering, 9 (3-11). ISSN 2289-8131 http://journal.utem.edu.my/index.php/jtec/article/view/3178 |
| institution |
Universiti Malaysia Sarawak |
| building |
Centre for Academic Information Services (CAIS) |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaysia Sarawak |
| content_source |
UNIMAS Institutional Repository |
| url_provider |
http://ir.unimas.my/ |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Chan, Dellas Su Chieng Wang, Yin Chai Vehicle Classification and Counting for Vehicle Census |
| description |
Vehicle classification has been significantly
important to vehicle census as it provides traffic count
information to reflect the traffic density of a particular
roadway. However, it has been a time consuming and
sophisticated task to classify different vehicles into the desired category. Besides, the hardware-based technique used for classification leads to high cost of implementation and
maintenance. Thus, we proposed an image processing based
solution to extract the features of each vehicle in the traffic scene. The proposed framework incorporates a combination of detection, tracking and classification of vehicle to ensure high accuracy and performance for vehicle census. Experimental results show that our proposed framework can be applicable in real world applications. |
| format |
Article |
| author |
Chan, Dellas Su Chieng Wang, Yin Chai |
| author_facet |
Chan, Dellas Su Chieng Wang, Yin Chai |
| author_sort |
Chan, Dellas Su Chieng |
| title |
Vehicle Classification and Counting for Vehicle Census |
| title_short |
Vehicle Classification and Counting for Vehicle Census |
| title_full |
Vehicle Classification and Counting for Vehicle Census |
| title_fullStr |
Vehicle Classification and Counting for Vehicle Census |
| title_full_unstemmed |
Vehicle Classification and Counting for Vehicle Census |
| title_sort |
vehicle classification and counting for vehicle census |
| publisher |
Universiti Teknikal Malaysia (UTEM) |
| publishDate |
2017 |
| url |
http://ir.unimas.my/id/eprint/21885/1/Vehicle%20Classification.pdf http://ir.unimas.my/id/eprint/21885/ http://journal.utem.edu.my/index.php/jtec/article/view/3178 |
| _version_ |
1745566044006645760 |
| score |
13.250246 |