Robust feature detection and tracking in thermal-infrared video

In this thesis, popular techniques within the area of machine vision: noise reduction, feature detection, edge detection and feature tracking, have been studied. This project is concerned with the use of thermal-infrared cameras which are much less affected by changes in lighting, shadows and out-of...

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Main Author: Vu Hoang Minh
Other Authors: Cheah Chien Chern
Format: Theses and Dissertations
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68532
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-685322023-07-04T15:04:37Z Robust feature detection and tracking in thermal-infrared video Vu Hoang Minh Cheah Chien Chern School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this thesis, popular techniques within the area of machine vision: noise reduction, feature detection, edge detection and feature tracking, have been studied. This project is concerned with the use of thermal-infrared cameras which are much less affected by changes in lighting, shadows and out-of-view motion compared to visible cameras. The main research focus of this thesis is how to deal with the low signal-to-noise ratio of thermal-infrared video in developing a novel real-time methodology for robust feature detection and tracking. The thesis first reviews the background of thermal-infrared imagery. It then covers the necessity of a noise reduction filter in thermal-infrared video. Next, it presents a number of existing approaches in edge and feature detection followed by four proposed techniques. Finally, results reveal that the proposed techniques perform well in thermal-infrared video. Master of Science (Computer Control and Automation) 2016-05-26T07:51:32Z 2016-05-26T07:51:32Z 2016 Thesis http://hdl.handle.net/10356/68532 en 129 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Vu Hoang Minh
Robust feature detection and tracking in thermal-infrared video
description In this thesis, popular techniques within the area of machine vision: noise reduction, feature detection, edge detection and feature tracking, have been studied. This project is concerned with the use of thermal-infrared cameras which are much less affected by changes in lighting, shadows and out-of-view motion compared to visible cameras. The main research focus of this thesis is how to deal with the low signal-to-noise ratio of thermal-infrared video in developing a novel real-time methodology for robust feature detection and tracking. The thesis first reviews the background of thermal-infrared imagery. It then covers the necessity of a noise reduction filter in thermal-infrared video. Next, it presents a number of existing approaches in edge and feature detection followed by four proposed techniques. Finally, results reveal that the proposed techniques perform well in thermal-infrared video.
author2 Cheah Chien Chern
author_facet Cheah Chien Chern
Vu Hoang Minh
format Theses and Dissertations
author Vu Hoang Minh
author_sort Vu Hoang Minh
title Robust feature detection and tracking in thermal-infrared video
title_short Robust feature detection and tracking in thermal-infrared video
title_full Robust feature detection and tracking in thermal-infrared video
title_fullStr Robust feature detection and tracking in thermal-infrared video
title_full_unstemmed Robust feature detection and tracking in thermal-infrared video
title_sort robust feature detection and tracking in thermal-infrared video
publishDate 2016
url http://hdl.handle.net/10356/68532
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