A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory

A new trend of traffic light monitoring module is the module that uses real time visual data and a computer vision approach to reflect the traffic conditions (crowded, normal and empty). This approach determines the traffic conditions by counting the number of vehicles individually on the street wit...

Full description

Saved in:

Bibliographic Details
Main Author:	Kareem, Emad Issa Abdul
Format:	Thesis
Language:	English
Published:	2012
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/41781/1/EMAD_ISSA_ABDUL_KAREEM.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-usm-ep.41781
record_format	uketd_dc
spelling	my-usm-ep.417812019-04-12T05:26:22Z A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory 2012-04 Kareem, Emad Issa Abdul QA75.5-76.95 Electronic computers. Computer science A new trend of traffic light monitoring module is the module that uses real time visual data and a computer vision approach to reflect the traffic conditions (crowded, normal and empty). This approach determines the traffic conditions by counting the number of vehicles individually on the street with the use of complex techniques. However this gives rise to some limitations. These limitations can be tackled when a multitude of vehicles in the street is detected as a group rather than individually. Such a technique can be achieved by using the auto-associative memory. 2012-04 Thesis http://eprints.usm.my/41781/ http://eprints.usm.my/41781/1/EMAD_ISSA_ABDUL_KAREEM.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Kareem, Emad Issa Abdul A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory
description	A new trend of traffic light monitoring module is the module that uses real time visual data and a computer vision approach to reflect the traffic conditions (crowded, normal and empty). This approach determines the traffic conditions by counting the number of vehicles individually on the street with the use of complex techniques. However this gives rise to some limitations. These limitations can be tackled when a multitude of vehicles in the street is detected as a group rather than individually. Such a technique can be achieved by using the auto-associative memory.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Kareem, Emad Issa Abdul
author_facet	Kareem, Emad Issa Abdul
author_sort	Kareem, Emad Issa Abdul
title	A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory
title_short	A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory
title_full	A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory
title_fullStr	A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory
title_full_unstemmed	A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory
title_sort	real time visual monitoring module for traffic conditions based on a modified auto-associative memory
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Komputer
publishDate	2012
url	http://eprints.usm.my/41781/1/EMAD_ISSA_ABDUL_KAREEM.pdf
_version_	1747820968865169408

A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory

Similar Items