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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2001
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| Online Access: | http://journalarticle.ukm.my/1382/ http://journalarticle.ukm.my/1382/ |
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ukm-1382 |
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ukm-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 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Kebangasaan Malaysia |
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UKM Institutional Repository |
| collection |
Online Access |
| 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://journalarticle.ukm.my/1382/ |
| first_indexed |
2023-09-18T19:33:10Z |
| last_indexed |
2023-09-18T19:33:10Z |
| _version_ |
1777405096850620416 |