Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej)

Most traffic detectors in service today work based on inductive loops buried under the road surface. Recently cameras and image processing with highspeed computers were beginning to be adopted for traffic surveillance system. This study was conducted to develop efficient traffic detector using image...

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Main Authors:	Hassan, Azmi, Basri, Hassan, Rahmat, Riza Atiq, Kasmiran, Jumari
Format:	Article
Language:	English
Published:	Penerbit UKM 2001
Subjects:	QA76 Computer software T175 Industrial research. Research and development
Online Access:	http://irep.iium.edu.my/37366/ http://irep.iium.edu.my/37366/ http://irep.iium.edu.my/37366/1/Jurnal_Kejuruteraan_2001.pdf

id	iium-37366
recordtype	eprints
spelling	iium-373662015-09-02T15:24:45Z http://irep.iium.edu.my/37366/ Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej) Hassan, Azmi Basri, Hassan Rahmat, Riza Atiq Kasmiran, Jumari QA76 Computer software T175 Industrial research. Research and development Most traffic detectors in service today work based on inductive loops buried under the road surface. Recently cameras and image processing with highspeed computers were beginning to be adopted for traffic surveillance system. This study was conducted to develop efficient traffic detector using image-processing with a personal computer Traffic images were captured using ordinary analogue video camera and digitised using a video blaster. Four algorithms were developed i.e. algorithm for traffic counting, algorithm for vehicle classification, algorithm to determine the speed of the counted vehicles and algorithm for incident detection. The four algorithms were found to be sufficiently efficient to be executed by a personal computer to capture multiple road lane traffic data simultaneously with high accuracy both during daytime and during night. (Kebanyakan pengesan lalu lintas yang ada sekarang menggunakan gelung induksi yang ditanam di bawah permukaan jalan raya. Semenjak akhir-akhir ini penggunaan kamera dan pemerosesan imej oleh komputer khas berkuasa tinggi telah mula digunakan untuk memantau lalu lintas. Kajian ini adalah untuk membangunkan pengesan lalu lintas yang cekap dengan kaedah pemperosesan imej oleh komputer peribadi. Imej lalu lintas diperolehi dengan menggunakan kamera analog dan didigitkan dengan menggunakan ‘video blaster'. Empat algoritnta telah dibangunkan, iaitu algoritma untuk mengira isi padu kenderaan, algoritma kenderaan, algoritma mendapatkan kelajuan kenderaan dan mengesan kejadian lalu lintas. Keempat-empat algoritma didapati cepat sehingga sebuah komputer peribadi berkemampuan untuk mendapatkatn data dari banyak lorong di jalan raya secara berasingan dalam masa serentak dengan ketepatan yang tinggi pada waktu siang atau malam). Penerbit UKM 2001-11-13 Article PeerReviewed application/pdf en http://irep.iium.edu.my/37366/1/Jurnal_Kejuruteraan_2001.pdf Hassan, Azmi and Basri, Hassan and Rahmat, Riza Atiq and Kasmiran, Jumari (2001) Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej). Jurnal Kejuruteraan (13). pp. 3-20. ISSN 0128-0198 http:/www.penerbit.ukm.my
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA76 Computer software T175 Industrial research. Research and development
spellingShingle	QA76 Computer software T175 Industrial research. Research and development Hassan, Azmi Basri, Hassan Rahmat, Riza Atiq Kasmiran, Jumari Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej)
description	Most traffic detectors in service today work based on inductive loops buried under the road surface. Recently cameras and image processing with highspeed computers were beginning to be adopted for traffic surveillance system. This study was conducted to develop efficient traffic detector using image-processing with a personal computer Traffic images were captured using ordinary analogue video camera and digitised using a video blaster. Four algorithms were developed i.e. algorithm for traffic counting, algorithm for vehicle classification, algorithm to determine the speed of the counted vehicles and algorithm for incident detection. The four algorithms were found to be sufficiently efficient to be executed by a personal computer to capture multiple road lane traffic data simultaneously with high accuracy both during daytime and during night. (Kebanyakan pengesan lalu lintas yang ada sekarang menggunakan gelung induksi yang ditanam di bawah permukaan jalan raya. Semenjak akhir-akhir ini penggunaan kamera dan pemerosesan imej oleh komputer khas berkuasa tinggi telah mula digunakan untuk memantau lalu lintas. Kajian ini adalah untuk membangunkan pengesan lalu lintas yang cekap dengan kaedah pemperosesan imej oleh komputer peribadi. Imej lalu lintas diperolehi dengan menggunakan kamera analog dan didigitkan dengan menggunakan ‘video blaster'. Empat algoritnta telah dibangunkan, iaitu algoritma untuk mengira isi padu kenderaan, algoritma kenderaan, algoritma mendapatkan kelajuan kenderaan dan mengesan kejadian lalu lintas. Keempat-empat algoritma didapati cepat sehingga sebuah komputer peribadi berkemampuan untuk mendapatkatn data dari banyak lorong di jalan raya secara berasingan dalam masa serentak dengan ketepatan yang tinggi pada waktu siang atau malam).
format	Article
author	Hassan, Azmi Basri, Hassan Rahmat, Riza Atiq Kasmiran, Jumari
author_facet	Hassan, Azmi Basri, Hassan Rahmat, Riza Atiq Kasmiran, Jumari
author_sort	Hassan, Azmi
title	Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej)
title_short	Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej)
title_full	Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej)
title_fullStr	Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej)
title_full_unstemmed	Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej)
title_sort	traffic detectors using image processing method (pengesan lalu lintas dengan kaedah pemprosesan imej)
publisher	Penerbit UKM
publishDate	2001
url	http://irep.iium.edu.my/37366/ http://irep.iium.edu.my/37366/ http://irep.iium.edu.my/37366/1/Jurnal_Kejuruteraan_2001.pdf
first_indexed	2023-09-18T20:53:37Z
last_indexed	2023-09-18T20:53:37Z
_version_	1777410158244134912

Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej)

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