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
![[img]](http://ir.unimas.my/style/images/fileicons/text.png) |
PDF
Vehicle Classification.pdf Download (150kB) |
Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | Information, Communication and Creative Technology |
| Uncontrolled Keywords: | Vehicle Census; Vehicle Classification; Image Processing, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak. |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 03 Oct 2018 04:26 |
| Last Modified: | 29 Sep 2022 03:09 |
| URI: | http://ir.unimas.my/id/eprint/21885 |
Actions (For repository members only: login required)
 |
View Item |
