Real-time dynamic image processing applications conventional and neural algorithms and architecture

The thesis deals with algorithms and architectures for real-time analysis of images for traffic data collection. In the algorithmic approach, an extensive literature survey is firstly presented to introduce general background of this field. The characters and difficulties in traffic vision system ar...

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Main Author: Dai, Fanyou
Other Authors: Mohammed Yakoob Siyal
Format: Theses and Dissertations
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/38970
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-389702023-07-04T15:27:00Z Real-time dynamic image processing applications conventional and neural algorithms and architecture Dai, Fanyou Mohammed Yakoob Siyal School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The thesis deals with algorithms and architectures for real-time analysis of images for traffic data collection. In the algorithmic approach, an extensive literature survey is firstly presented to introduce general background of this field. The characters and difficulties in traffic vision system are discussed, and most commonly used algorithms are analyzed and evaluated. Later, a set of improved algorithms is developed and elaborated by the author. A comparison of these improved algorithms with conventional algorithms has also been carried out. Master of Engineering 2010-05-21T03:37:58Z 2010-05-21T03:37:58Z 1997 1997 Thesis http://hdl.handle.net/10356/38970 Nanyang Technological University 193 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Dai, Fanyou
Real-time dynamic image processing applications conventional and neural algorithms and architecture
description The thesis deals with algorithms and architectures for real-time analysis of images for traffic data collection. In the algorithmic approach, an extensive literature survey is firstly presented to introduce general background of this field. The characters and difficulties in traffic vision system are discussed, and most commonly used algorithms are analyzed and evaluated. Later, a set of improved algorithms is developed and elaborated by the author. A comparison of these improved algorithms with conventional algorithms has also been carried out.
author2 Mohammed Yakoob Siyal
author_facet Mohammed Yakoob Siyal
Dai, Fanyou
format Theses and Dissertations
author Dai, Fanyou
author_sort Dai, Fanyou
title Real-time dynamic image processing applications conventional and neural algorithms and architecture
title_short Real-time dynamic image processing applications conventional and neural algorithms and architecture
title_full Real-time dynamic image processing applications conventional and neural algorithms and architecture
title_fullStr Real-time dynamic image processing applications conventional and neural algorithms and architecture
title_full_unstemmed Real-time dynamic image processing applications conventional and neural algorithms and architecture
title_sort real-time dynamic image processing applications conventional and neural algorithms and architecture
publishDate 2010
url http://hdl.handle.net/10356/38970
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