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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...

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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
http://eprints.usm.my/41781/
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spelling my.usm.eprints.41781 http://eprints.usm.my/41781/ A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory 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 NonPeerReviewed application/pdf en http://eprints.usm.my/41781/1/EMAD_ISSA_ABDUL_KAREEM.pdf Kareem, Emad Issa Abdul (2012) A Real Time Visual Monitoring Module For Traffic Conditions Based On A Modified Auto-Associative Memory. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2012
url http://eprints.usm.my/41781/1/EMAD_ISSA_ABDUL_KAREEM.pdf
http://eprints.usm.my/41781/
_version_ 1643710319700213760
score 13.18916

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