Moving object detection in a sequence of images taken from non-stationary camera

Moving object detection is a vital aspect of motion analysis. It has drawn an increasing attention in the recent years due to its applications such as in communication, traffic monitoring, security surveillance, robot navigation and servoing. Despite the fact that much research efforts have been dev...

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Main Author:	Cholan, Noran Azizan
Format:	Thesis
Language:	English
Published:	2004
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/2730/2/NoranAzizanCholanMFKE2004.pdf
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id	my-utm-ep.2730
record_format	uketd_dc
spelling	my-utm-ep.27302018-06-25T00:42:48Z Moving object detection in a sequence of images taken from non-stationary camera 2004-10 Cholan, Noran Azizan TK Electrical engineering. Electronics Nuclear engineering Moving object detection is a vital aspect of motion analysis. It has drawn an increasing attention in the recent years due to its applications such as in communication, traffic monitoring, security surveillance, robot navigation and servoing. Despite the fact that much research efforts have been devoted to this area, detecting moving object using non-stationary moving camera remains a great challenge. The research undertaken in this thesis is mainly concentrated on developing a reliable and robust detection system which incorporates some operation on images such as thresholding, blob labelling, blob matching, filtering and blob analysis. The basic idea behind this system is that the motion of the moving object is different with the motion of background object. Path transversed within a certain period of observation of the moving object is usually longer than background object. By using blob labelling and blob matching operation, this system would be able to track binary blobs over an arbitarily long image sequence. The criteria for matching binary blobs from two adjacent frames are position, height, width, area, colour and aspect ratio. If the the path transversed of a binary blob within a certain period of observation is sufficiently long, then the tracked blob is considered as moving object 2004-10 Thesis http://eprints.utm.my/id/eprint/2730/ http://eprints.utm.my/id/eprint/2730/2/NoranAzizanCholanMFKE2004.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Cholan, Noran Azizan Moving object detection in a sequence of images taken from non-stationary camera
description	Moving object detection is a vital aspect of motion analysis. It has drawn an increasing attention in the recent years due to its applications such as in communication, traffic monitoring, security surveillance, robot navigation and servoing. Despite the fact that much research efforts have been devoted to this area, detecting moving object using non-stationary moving camera remains a great challenge. The research undertaken in this thesis is mainly concentrated on developing a reliable and robust detection system which incorporates some operation on images such as thresholding, blob labelling, blob matching, filtering and blob analysis. The basic idea behind this system is that the motion of the moving object is different with the motion of background object. Path transversed within a certain period of observation of the moving object is usually longer than background object. By using blob labelling and blob matching operation, this system would be able to track binary blobs over an arbitarily long image sequence. The criteria for matching binary blobs from two adjacent frames are position, height, width, area, colour and aspect ratio. If the the path transversed of a binary blob within a certain period of observation is sufficiently long, then the tracked blob is considered as moving object
format	Thesis
qualification_level	Master's degree
author	Cholan, Noran Azizan
author_facet	Cholan, Noran Azizan
author_sort	Cholan, Noran Azizan
title	Moving object detection in a sequence of images taken from non-stationary camera
title_short	Moving object detection in a sequence of images taken from non-stationary camera
title_full	Moving object detection in a sequence of images taken from non-stationary camera
title_fullStr	Moving object detection in a sequence of images taken from non-stationary camera
title_full_unstemmed	Moving object detection in a sequence of images taken from non-stationary camera
title_sort	moving object detection in a sequence of images taken from non-stationary camera
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2004
url	http://eprints.utm.my/id/eprint/2730/2/NoranAzizanCholanMFKE2004.pdf
_version_	1747814428751953920

Moving object detection in a sequence of images taken from non-stationary camera

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