Citation
Mat Nong, Mohd Ali and Osman, Rosiah and Md Yusof, Juraina and Mohd Sidek, Roslina
(2016)
Motorcycle image tracking and edge detections based on Simulink software.
In: 2016 6th International Conference on Intelligent and Advanced Systems (ICIAS 2016), 15-17 Aug. 2016, Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia. .
Abstract
A visual driver support system was developed to reduce accidents involving motorcyclist. The system used Matlab software as a platform to detect motorcycle image. The detection system was designed to detect still images and moving objects images for different resolutions. A motorcycle was defined as the target object in this case. The results showed that the visual driver support system is able to detect image of motorcycle in still and in moving condition. The percentage of correct detection of motorcycle image is 83.3% and 50% for low and high image resolutions respectively.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Engineering Institute of Advanced Technology |
| DOI Number: | https://doi.org/10.1109/ICIAS.2016.7824121 |
| Publisher: | IEEE |
| Keywords: | Bounding box; Detection system; Edge detection; Motorcycle; Object recognition |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 03 Jul 2017 09:33 |
| Last Modified: | 03 Jul 2017 09:33 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICIAS.2016.7824121 |
| URI: | http://psasir.upm.edu.my/id/eprint/56046 |
| Statistic Details: | View Download Statistic |
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