ATM crime detection using image processing integrated video surveillance : a systematic review

Integrating image processing in video surveillance systems is a challenging task that has been attempted for the past several decades. Despite being susceptible to crime, automated teller machine (ATM) surveillance system has not been fully integrated with image processing application for detecting...

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Main Authors:	Sikandar, Tasriva, Kamarul Hawari, Ghazali, Rabbi, M. F.
Format:	Article
Language:	English
Published:	Springer Verlag 2019
Subjects:	QA Mathematics TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25228/ http://umpir.ump.edu.my/id/eprint/25228/ http://umpir.ump.edu.my/id/eprint/25228/ http://umpir.ump.edu.my/id/eprint/25228/1/ATM%20crime%20detection%20using%20image%20processing%20integrated%20video%20.pdf

id	ump-25228
recordtype	eprints
spelling	ump-252282019-10-24T08:48:07Z http://umpir.ump.edu.my/id/eprint/25228/ ATM crime detection using image processing integrated video surveillance : a systematic review Sikandar, Tasriva Kamarul Hawari, Ghazali Rabbi, M. F. QA Mathematics TK Electrical engineering. Electronics Nuclear engineering Integrating image processing in video surveillance systems is a challenging task that has been attempted for the past several decades. Despite being susceptible to crime, automated teller machine (ATM) surveillance system has not been fully integrated with image processing application for detecting criminal activity. On the other hand, the conventional state of the art image processing algorithms available for occluded and covered face detection, human abnormal behavior analysis and illegal object detection may not work for ATM having different environment (i.e. illumination and camera view), abnormal gestures, and crime devices. This article reviews the previous research works on all possible image processing applications that can be used in the ATM surveillance camera. The review embarks with the aim of (1) categorizing the studies, (2) analyzing their weaknesses and strengths, (3) highlighting significant research findings and (4) providing future research directions. To achieve these goals, this review summarizes the information based on abnormality detection, features, system framework and methodology, image acquisition, sample specification, performance analysis and project funding. Furthermore, the survey evaluates the studies from the point of view of their applicability, suitability, and usage in dynamic environment such as ATM. Viewing as a whole, despite having huge potential, a full-fledged video surveillance system integrated with image processing methods has not been found in the existing literature for ATM. The findings of this review may help the future researchers to develop dynamic and multipurpose algorithms for surveillance system that can detect and prevent ATM crime. Springer Verlag 2019-06-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25228/1/ATM%20crime%20detection%20using%20image%20processing%20integrated%20video%20.pdf Sikandar, Tasriva and Kamarul Hawari, Ghazali and Rabbi, M. F. (2019) ATM crime detection using image processing integrated video surveillance : a systematic review. Multimedia Systems, 25 (3). pp. 229-251. ISSN 0942-4962 https://doi.org/10.1007/s00530-018-0599-4 https://doi.org/10.1007/s00530-018-0599-4
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA Mathematics TK Electrical engineering. Electronics Nuclear engineering Sikandar, Tasriva Kamarul Hawari, Ghazali Rabbi, M. F. ATM crime detection using image processing integrated video surveillance : a systematic review
description	Integrating image processing in video surveillance systems is a challenging task that has been attempted for the past several decades. Despite being susceptible to crime, automated teller machine (ATM) surveillance system has not been fully integrated with image processing application for detecting criminal activity. On the other hand, the conventional state of the art image processing algorithms available for occluded and covered face detection, human abnormal behavior analysis and illegal object detection may not work for ATM having different environment (i.e. illumination and camera view), abnormal gestures, and crime devices. This article reviews the previous research works on all possible image processing applications that can be used in the ATM surveillance camera. The review embarks with the aim of (1) categorizing the studies, (2) analyzing their weaknesses and strengths, (3) highlighting significant research findings and (4) providing future research directions. To achieve these goals, this review summarizes the information based on abnormality detection, features, system framework and methodology, image acquisition, sample specification, performance analysis and project funding. Furthermore, the survey evaluates the studies from the point of view of their applicability, suitability, and usage in dynamic environment such as ATM. Viewing as a whole, despite having huge potential, a full-fledged video surveillance system integrated with image processing methods has not been found in the existing literature for ATM. The findings of this review may help the future researchers to develop dynamic and multipurpose algorithms for surveillance system that can detect and prevent ATM crime.
format	Article
author	Sikandar, Tasriva Kamarul Hawari, Ghazali Rabbi, M. F.
author_facet	Sikandar, Tasriva Kamarul Hawari, Ghazali Rabbi, M. F.
author_sort	Sikandar, Tasriva
title	ATM crime detection using image processing integrated video surveillance : a systematic review
title_short	ATM crime detection using image processing integrated video surveillance : a systematic review
title_full	ATM crime detection using image processing integrated video surveillance : a systematic review
title_fullStr	ATM crime detection using image processing integrated video surveillance : a systematic review
title_full_unstemmed	ATM crime detection using image processing integrated video surveillance : a systematic review
title_sort	atm crime detection using image processing integrated video surveillance : a systematic review
publisher	Springer Verlag
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25228/ http://umpir.ump.edu.my/id/eprint/25228/ http://umpir.ump.edu.my/id/eprint/25228/ http://umpir.ump.edu.my/id/eprint/25228/1/ATM%20crime%20detection%20using%20image%20processing%20integrated%20video%20.pdf
first_indexed	2023-09-18T22:38:37Z
last_indexed	2023-09-18T22:38:37Z
_version_	1777416764636790784

ATM crime detection using image processing integrated video surveillance : a systematic review

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