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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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Główni autorzy: Mat Nong, Mohd Ali, Osman, Rosiah, Md Yusof, Juraina, Mohd Sidek, Roslina
Format: Conference or Workshop Item
Język:English
Wydane: IEEE 2016
Dostęp online:http://psasir.upm.edu.my/id/eprint/56046/1/Motorcycle%20image%20tracking%20and%20edge%20detections%20based%20on%20Simulink%20software.pdf
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spelling 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
collection 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

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