Traffic congestion monitoring based on automated vision system

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Main Author: Kerisnan, Shashitheren
Format: Thesis
Published: 2008
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id my-utm-ep.18594
record_format uketd_dc
spelling my-utm-ep.185942011-11-18T04:35:35Z Traffic congestion monitoring based on automated vision system 2008-00 Kerisnan, Shashitheren TK Electrical engineering. Electronics Nuclear engineering 2008-00 Thesis http://eprints.utm.my/id/eprint/18594/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Kerisnan, Shashitheren
Traffic congestion monitoring based on automated vision system
description
format Thesis
qualification_level Master's degree
author Kerisnan, Shashitheren
author_facet Kerisnan, Shashitheren
author_sort Kerisnan, Shashitheren
title Traffic congestion monitoring based on automated vision system
title_short Traffic congestion monitoring based on automated vision system
title_full Traffic congestion monitoring based on automated vision system
title_fullStr Traffic congestion monitoring based on automated vision system
title_full_unstemmed Traffic congestion monitoring based on automated vision system
title_sort traffic congestion monitoring based on automated vision system
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2008
_version_ 1747815313334861824