Spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance

Visual surveillance has been a very active research topic in the last few years due to its growing importance in security and law enforcement. More and more surveillance cameras are installed and the massive amount of data involved makes it infeasible to guarantee vigilant monitoring by human operat...

Full description

Main Author: KAJO, IBRAHIM
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.19016 /
Published: 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: http://utpedia.utp.edu.my/19016/1/PhD%20Thesis-Ibrahim%20Kajo.pdf
http://utpedia.utp.edu.my/19016/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-utpedia.19016
recordtype eprints
spelling utp-utpedia.190162019-05-14T11:34:31Z http://utpedia.utp.edu.my/19016/ Spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance KAJO, IBRAHIM TK Electrical engineering. Electronics Nuclear engineering Visual surveillance has been a very active research topic in the last few years due to its growing importance in security and law enforcement. More and more surveillance cameras are installed and the massive amount of data involved makes it infeasible to guarantee vigilant monitoring by human operators for long periods of time. As a result, video feeds are usually archived for forensic purposes in the event suspicious activities take place. In order to assist human operators with identification of important events in videos an “intelligent” visual surveillance system can be used. Such a system requires fast and robust methods for background initialization and moving object detection. Unfortunately, the existing motion detection approaches cannot handle various challenges associated with background initialization such as occlusion, camera jitter, and lighting changes. Furthermore, these conventional approaches fail to accurately detect certain types of motion patterns such as periodic and repeated motions. 2018-03 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19016/1/PhD%20Thesis-Ibrahim%20Kajo.pdf KAJO, IBRAHIM (2018) Spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
KAJO, IBRAHIM
Spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance
description Visual surveillance has been a very active research topic in the last few years due to its growing importance in security and law enforcement. More and more surveillance cameras are installed and the massive amount of data involved makes it infeasible to guarantee vigilant monitoring by human operators for long periods of time. As a result, video feeds are usually archived for forensic purposes in the event suspicious activities take place. In order to assist human operators with identification of important events in videos an “intelligent” visual surveillance system can be used. Such a system requires fast and robust methods for background initialization and moving object detection. Unfortunately, the existing motion detection approaches cannot handle various challenges associated with background initialization such as occlusion, camera jitter, and lighting changes. Furthermore, these conventional approaches fail to accurately detect certain types of motion patterns such as periodic and repeated motions.
format Thesis
author KAJO, IBRAHIM
author_sort KAJO, IBRAHIM
title Spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance
title_short Spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance
title_full Spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance
title_fullStr Spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance
title_full_unstemmed Spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance
title_sort spatiotemporal subspace based video analysis for changes and stationarities in visual surveillance
publishDate 2018
url http://utpedia.utp.edu.my/19016/1/PhD%20Thesis-Ibrahim%20Kajo.pdf
http://utpedia.utp.edu.my/19016/
_version_ 1741195437297106944
score 11.62408

Similar Items