Pengesan lalu lintas dengan kaedah pemerosesan imej

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

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Main Authors: Riza Atiq O.K.Rahmat,, Kasmiran Jumari,, Azmi Hassan,, Hassan Basri,
Format: Article
Published: 2001
Online Access:http://journalarticle.ukm.my/1382/
http://www.ukm.my/jkukm/index.php/jkukm
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spelling my-ukm.journal.13822011-10-11T03:45:30Z http://journalarticle.ukm.my/1382/ Pengesan lalu lintas dengan kaedah pemerosesan imej Riza Atiq O.K.Rahmat, Kasmiran Jumari, Azmi Hassan, Hassan Basri, Most traffic detectors in service today work based on inductive loops buried under the road surface. Recently cameras and image processing with high-speed 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 compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: 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 2001 Article PeerReviewed Riza Atiq O.K.Rahmat, and Kasmiran Jumari, and Azmi Hassan, and Hassan Basri, (2001) Pengesan lalu lintas dengan kaedah pemerosesan imej. Jurnal Kejuruteraan, 13 . http://www.ukm.my/jkukm/index.php/jkukm
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
description Most traffic detectors in service today work based on inductive loops buried under the road surface. Recently cameras and image processing with high-speed 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 compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: 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
format Article
author Riza Atiq O.K.Rahmat,
Kasmiran Jumari,
Azmi Hassan,
Hassan Basri,
spellingShingle Riza Atiq O.K.Rahmat,
Kasmiran Jumari,
Azmi Hassan,
Hassan Basri,
Pengesan lalu lintas dengan kaedah pemerosesan imej
author_facet Riza Atiq O.K.Rahmat,
Kasmiran Jumari,
Azmi Hassan,
Hassan Basri,
author_sort Riza Atiq O.K.Rahmat,
title Pengesan lalu lintas dengan kaedah pemerosesan imej
title_short Pengesan lalu lintas dengan kaedah pemerosesan imej
title_full Pengesan lalu lintas dengan kaedah pemerosesan imej
title_fullStr Pengesan lalu lintas dengan kaedah pemerosesan imej
title_full_unstemmed Pengesan lalu lintas dengan kaedah pemerosesan imej
title_sort pengesan lalu lintas dengan kaedah pemerosesan imej
publishDate 2001
url http://journalarticle.ukm.my/1382/
http://www.ukm.my/jkukm/index.php/jkukm
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score 13.153044