Road triangle detection for non-road area elimination using lane detection and image multiplication
The background has become the key issue in maintaining the accuracy of final analysis for object detection in the development of an image processing algorithm. Therefore, this paper focuses on intelligent transport system (ITS), in which some of the background characteristics such as trees, road div...
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Penerbit Universiti Teknikal Malaysia Melaka
2017
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Online Access: | http://eprints.utem.edu.my/id/eprint/20916/2/2631-7083-1-SM.pdf http://eprints.utem.edu.my/id/eprint/20916/ https://jtec.utem.edu.my/jtec/article/view/2631/1677 |
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my.utem.eprints.209162023-05-30T11:12:06Z http://eprints.utem.edu.my/id/eprint/20916/ Road triangle detection for non-road area elimination using lane detection and image multiplication Aminuddin, Nur Shazwani Mat Ibrahim, Masrullizam Mohd Ali, Nursabillilah Ahmad Radzi, Syafeeza Darsono, Abd Majid Wong, Yan Chiew T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The background has become the key issue in maintaining the accuracy of final analysis for object detection in the development of an image processing algorithm. Therefore, this paper focuses on intelligent transport system (ITS), in which some of the background characteristics such as trees, road divider, and buildings interfere in the detection system algorithm. Therefore, this paper presents an algorithm that can remove the unwanted background, outside the road area boundaries for dynamic video footage. Using the onboard camera to capture the road traffic, the background is always moving in motion together with the foreground; therefore, a region of interest that focuses only on the road region needs to be established. The algorithm consists of three main components: lane detection, vanishing point and image multiplication. From the three components, other methods are applied, namely Hough transform, line intersection, image masking and image multiplication, which are combined together to create the background subtraction system. In the final analysis, the test results under various road conditions show a good detection rate and background removal. Penerbit Universiti Teknikal Malaysia Melaka 2017 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20916/2/2631-7083-1-SM.pdf Aminuddin, Nur Shazwani and Mat Ibrahim, Masrullizam and Mohd Ali, Nursabillilah and Ahmad Radzi, Syafeeza and Darsono, Abd Majid and Wong, Yan Chiew (2017) Road triangle detection for non-road area elimination using lane detection and image multiplication. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9 (2-8). pp. 73-77. ISSN 2180-1843 https://jtec.utem.edu.my/jtec/article/view/2631/1677 |
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T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Aminuddin, Nur Shazwani Mat Ibrahim, Masrullizam Mohd Ali, Nursabillilah Ahmad Radzi, Syafeeza Darsono, Abd Majid Wong, Yan Chiew Road triangle detection for non-road area elimination using lane detection and image multiplication |
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The background has become the key issue in maintaining the accuracy of final analysis for object detection in the development of an image processing algorithm. Therefore, this paper focuses on intelligent transport system (ITS), in which some of the background characteristics such as trees, road divider, and buildings interfere in the detection system algorithm. Therefore, this paper presents an algorithm that can remove the unwanted background, outside the road area boundaries for dynamic video footage. Using the onboard camera to capture the road traffic, the background is always moving in motion together with the foreground; therefore, a region of interest that focuses only on the road region needs to be established. The algorithm consists of three main components: lane detection, vanishing point and image multiplication. From the three components, other methods are applied, namely Hough transform, line intersection, image masking and image multiplication, which are combined together to create the background subtraction system. In the final analysis, the test results under various road conditions show a good detection rate and background removal. |
format |
Article |
author |
Aminuddin, Nur Shazwani Mat Ibrahim, Masrullizam Mohd Ali, Nursabillilah Ahmad Radzi, Syafeeza Darsono, Abd Majid Wong, Yan Chiew |
author_facet |
Aminuddin, Nur Shazwani Mat Ibrahim, Masrullizam Mohd Ali, Nursabillilah Ahmad Radzi, Syafeeza Darsono, Abd Majid Wong, Yan Chiew |
author_sort |
Aminuddin, Nur Shazwani |
title |
Road triangle detection for non-road area elimination using lane detection and image multiplication |
title_short |
Road triangle detection for non-road area elimination using lane detection and image multiplication |
title_full |
Road triangle detection for non-road area elimination using lane detection and image multiplication |
title_fullStr |
Road triangle detection for non-road area elimination using lane detection and image multiplication |
title_full_unstemmed |
Road triangle detection for non-road area elimination using lane detection and image multiplication |
title_sort |
road triangle detection for non-road area elimination using lane detection and image multiplication |
publisher |
Penerbit Universiti Teknikal Malaysia Melaka |
publishDate |
2017 |
url |
http://eprints.utem.edu.my/id/eprint/20916/2/2631-7083-1-SM.pdf http://eprints.utem.edu.my/id/eprint/20916/ https://jtec.utem.edu.my/jtec/article/view/2631/1677 |
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13.18916 |