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The Sentinel: A proposed potential intruder alert system based on human behaviours

Petty crimes such as robbery and burglary are common in Malaysia, especially in urban areas and major cities. There are many reports of such cases happening right in front of the victim’s premise, posing a safety concern where one can’t even be safe around his/her home.Therefore, this paper proposes...

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Main Authors: Lee, Chi Ngan, Osman, Mohd Azam, Zaaba, Zarul Fitri, Wan Zainon, Wan Mohd Nazmee
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/15490/1/PID069.pdf
http://repo.uum.edu.my/15490/
http://www.icoci.cms.net.my/proceedings/2015/TOC.html
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spelling my.uum.repo.154902016-04-27T06:24:26Z http://repo.uum.edu.my/15490/ The Sentinel: A proposed potential intruder alert system based on human behaviours Lee, Chi Ngan Osman, Mohd Azam Zaaba, Zarul Fitri Wan Zainon, Wan Mohd Nazmee QA75 Electronic computers. Computer science Petty crimes such as robbery and burglary are common in Malaysia, especially in urban areas and major cities. There are many reports of such cases happening right in front of the victim’s premise, posing a safety concern where one can’t even be safe around his/her home.Therefore, this paper proposes a Potential Intruder Alert System based on Human Behaviors (The Sentinel) utilizing image processing techniques and sophisticated machine learning to identify suspicious human behaviors.The Sentinel will then alert the users should the system detect any suspicious movements or threats lurking outside the house. 2015-08-13 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/15490/1/PID069.pdf Lee, Chi Ngan and Osman, Mohd Azam and Zaaba, Zarul Fitri and Wan Zainon, Wan Mohd Nazmee (2015) The Sentinel: A proposed potential intruder alert system based on human behaviours. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey. http://www.icoci.cms.net.my/proceedings/2015/TOC.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Lee, Chi Ngan
Osman, Mohd Azam
Zaaba, Zarul Fitri
Wan Zainon, Wan Mohd Nazmee
The Sentinel: A proposed potential intruder alert system based on human behaviours
description Petty crimes such as robbery and burglary are common in Malaysia, especially in urban areas and major cities. There are many reports of such cases happening right in front of the victim’s premise, posing a safety concern where one can’t even be safe around his/her home.Therefore, this paper proposes a Potential Intruder Alert System based on Human Behaviors (The Sentinel) utilizing image processing techniques and sophisticated machine learning to identify suspicious human behaviors.The Sentinel will then alert the users should the system detect any suspicious movements or threats lurking outside the house.
format Conference or Workshop Item
author Lee, Chi Ngan
Osman, Mohd Azam
Zaaba, Zarul Fitri
Wan Zainon, Wan Mohd Nazmee
author_facet Lee, Chi Ngan
Osman, Mohd Azam
Zaaba, Zarul Fitri
Wan Zainon, Wan Mohd Nazmee
author_sort Lee, Chi Ngan
title The Sentinel: A proposed potential intruder alert system based on human behaviours
title_short The Sentinel: A proposed potential intruder alert system based on human behaviours
title_full The Sentinel: A proposed potential intruder alert system based on human behaviours
title_fullStr The Sentinel: A proposed potential intruder alert system based on human behaviours
title_full_unstemmed The Sentinel: A proposed potential intruder alert system based on human behaviours
title_sort sentinel: a proposed potential intruder alert system based on human behaviours
publishDate 2015
url http://repo.uum.edu.my/15490/1/PID069.pdf
http://repo.uum.edu.my/15490/
http://www.icoci.cms.net.my/proceedings/2015/TOC.html
_version_ 1644281729429536768
score 13.211869

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