Motorcycle image tracking and edge detections based on Simulink software
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...
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| Формат: | Conference or Workshop Item |
| Язык: | English |
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IEEE
2016
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| Online-ссылка: | http://psasir.upm.edu.my/id/eprint/56046/1/Motorcycle%20image%20tracking%20and%20edge%20detections%20based%20on%20Simulink%20software.pdf |
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oai:psasir.upm.edu.my:56046 http://psasir.upm.edu.my/id/eprint/56046/ Motorcycle image tracking and edge detections based on Simulink software Mat Nong, Mohd Ali Osman, Rosiah Md Yusof, Juraina Mohd Sidek, Roslina 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. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56046/1/Motorcycle%20image%20tracking%20and%20edge%20detections%20based%20on%20Simulink%20software.pdf 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. . 10.1109/ICIAS.2016.7824121 |
| institution |
UPM IR |
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UPM IR |
| language |
English |
| description |
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. |
| format |
Conference or Workshop Item |
| author |
Mat Nong, Mohd Ali Osman, Rosiah Md Yusof, Juraina Mohd Sidek, Roslina |
| spellingShingle |
Mat Nong, Mohd Ali Osman, Rosiah Md Yusof, Juraina Mohd Sidek, Roslina Motorcycle image tracking and edge detections based on Simulink software |
| author_facet |
Mat Nong, Mohd Ali Osman, Rosiah Md Yusof, Juraina Mohd Sidek, Roslina |
| author_sort |
Mat Nong, Mohd Ali |
| title |
Motorcycle image tracking and edge detections based on Simulink software |
| title_short |
Motorcycle image tracking and edge detections based on Simulink software |
| title_full |
Motorcycle image tracking and edge detections based on Simulink software |
| title_fullStr |
Motorcycle image tracking and edge detections based on Simulink software |
| title_full_unstemmed |
Motorcycle image tracking and edge detections based on Simulink software |
| title_sort |
motorcycle image tracking and edge detections based on simulink software |
| publisher |
IEEE |
| publishDate |
2016 |
| url |
http://psasir.upm.edu.my/id/eprint/56046/1/Motorcycle%20image%20tracking%20and%20edge%20detections%20based%20on%20Simulink%20software.pdf |
| _version_ |
1819297607263977472 |
| score |
13.4562235 |