A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System

The rising rate of Auto Teller Machine (ATM) robbery cases in Malaysia has drawn our attention. Despite having the CCTV surveillance system, the ATM robbery has been occurring in an alarming rate recently. One of the reason is the CCTV recorded video in ATM is limited to use as forensic evidence aft...

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Main Authors:	Tasriva, Sikandar, Kamarul Hawari, Ghazali
Format:	Article
Language:	English
Published:	IIE 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/18790/ http://umpir.ump.edu.my/id/eprint/18790/ http://umpir.ump.edu.my/id/eprint/18790/ http://umpir.ump.edu.my/id/eprint/18790/1/fkee-2016-Tasriva-Review%20on%20Human%20Motion%20Detection.pdf

id	ump-18790
recordtype	eprints
spelling	ump-187902017-10-25T02:23:30Z http://umpir.ump.edu.my/id/eprint/18790/ A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System Tasriva, Sikandar Kamarul Hawari, Ghazali TK Electrical engineering. Electronics Nuclear engineering The rising rate of Auto Teller Machine (ATM) robbery cases in Malaysia has drawn our attention. Despite having the CCTV surveillance system, the ATM robbery has been occurring in an alarming rate recently. One of the reason is the CCTV recorded video in ATM is limited to use as forensic evidence after crime occurrence while the video for serving as a real time alarm for the security guard (usually occupied with number of monitors in the control room) during robbery has been disregarded. Real time analysis of human motion from CCTV video data can be used to notify the security guard about a suspicious individual committing burglary and thus gives chance to immediately cease the criminal red-handed. In the process of human motion analysis, at first human must be detected in an image or video following three stages namely i) environment/background modeling, ii) motion segmentation and iii) object classification. In this paper we address existing human detection methods that can be effectively used in CCTV surveillance of ATM. Specifically; first we investigate the recent records of ATM robbery cases in all over the world including Europe, America and Asia. Next, we discuss the methods used in the three steps of human motion detection explicitly. The main purpose of the study is to provide a general overview of human motion detection methods used in ATM-CCTV surveillance system IIE 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18790/1/fkee-2016-Tasriva-Review%20on%20Human%20Motion%20Detection.pdf Tasriva, Sikandar and Kamarul Hawari, Ghazali (2016) A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System. International Journal of Computing, Communications & Instrumentation Enggineering (IJCCIE), 3 (2). pp. 213-217. ISSN 349-1469 (Print); 2349-1477 (Online) http://dx.doi.org/10.15242/IJCCIE.IAE0516006 doi: 10.15242/IJCCIE.IAE0516006
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Tasriva, Sikandar Kamarul Hawari, Ghazali A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System
description	The rising rate of Auto Teller Machine (ATM) robbery cases in Malaysia has drawn our attention. Despite having the CCTV surveillance system, the ATM robbery has been occurring in an alarming rate recently. One of the reason is the CCTV recorded video in ATM is limited to use as forensic evidence after crime occurrence while the video for serving as a real time alarm for the security guard (usually occupied with number of monitors in the control room) during robbery has been disregarded. Real time analysis of human motion from CCTV video data can be used to notify the security guard about a suspicious individual committing burglary and thus gives chance to immediately cease the criminal red-handed. In the process of human motion analysis, at first human must be detected in an image or video following three stages namely i) environment/background modeling, ii) motion segmentation and iii) object classification. In this paper we address existing human detection methods that can be effectively used in CCTV surveillance of ATM. Specifically; first we investigate the recent records of ATM robbery cases in all over the world including Europe, America and Asia. Next, we discuss the methods used in the three steps of human motion detection explicitly. The main purpose of the study is to provide a general overview of human motion detection methods used in ATM-CCTV surveillance system
format	Article
author	Tasriva, Sikandar Kamarul Hawari, Ghazali
author_facet	Tasriva, Sikandar Kamarul Hawari, Ghazali
author_sort	Tasriva, Sikandar
title	A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System
title_short	A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System
title_full	A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System
title_fullStr	A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System
title_full_unstemmed	A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System
title_sort	review on human motion detection techniques for atm-cctv surveillance system
publisher	IIE
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/18790/ http://umpir.ump.edu.my/id/eprint/18790/ http://umpir.ump.edu.my/id/eprint/18790/ http://umpir.ump.edu.my/id/eprint/18790/1/fkee-2016-Tasriva-Review%20on%20Human%20Motion%20Detection.pdf
first_indexed	2023-09-18T22:26:47Z
last_indexed	2023-09-18T22:26:47Z
_version_	1777416020161462272

A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System

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