Developing a robust framework to reduce the size of a recorded video surveillance systems

Most of the video surveillance strategies take a significant amount of space for storage as surveillance camera's unexceptionally recorded everything during camera – on time. Whereby, it leads to consuming the storage capacity of the device of the system. In fact, many algorithms have been p...

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Main Authors:	Alamin, Sabri Mohammed, Khalifa, Othman Omran
Format:	Article
Language:	English English
Published:	SERSC: Science & Engineering Research Support Society 2018
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/61937/ http://irep.iium.edu.my/61937/ http://irep.iium.edu.my/61937/ http://irep.iium.edu.my/61937/1/Developing%20a%20Robust%20Framework%20to%20Reduce%20the%20Size%20of%20a%20Recorded%20video.pdf http://irep.iium.edu.my/61937/7/61937%20Developing%20a%20Robust%20Framework%20to%20Reduce%20the%20Size%20of%20a%20Recorded%20Video%20Surveillance%20Systems_wos.pdf

id	iium-61937
recordtype	eprints
spelling	iium-619372019-01-24T02:36:49Z http://irep.iium.edu.my/61937/ Developing a robust framework to reduce the size of a recorded video surveillance systems Alamin, Sabri Mohammed Khalifa, Othman Omran T Technology (General) Most of the video surveillance strategies take a significant amount of space for storage as surveillance camera's unexceptionally recorded everything during camera – on time. Whereby, it leads to consuming the storage capacity of the device of the system. In fact, many algorithms have been proposed solving in the dilemma to object recognition and compress the video to reduce the size whenever it save's data. Nevertheless, the technology deprived efficient methods to reducing the storage of space for consummation. The Idea of this paper is to propose a framework on how to possibly can be reduce the size of a recorded video of the surveillance system via recording only the part of the video that contains the motion, and ignore the other parts based on the motion detection. The result shows that the framework give an outstanding results on the uncompressed surveillance video recorded from a single fixed camera. The proposed framework enables to save 30% more of playback time and can provide more than 50% of storage of space saving. SERSC: Science & Engineering Research Support Society 2018-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/61937/1/Developing%20a%20Robust%20Framework%20to%20Reduce%20the%20Size%20of%20a%20Recorded%20video.pdf application/pdf en http://irep.iium.edu.my/61937/7/61937%20Developing%20a%20Robust%20Framework%20to%20Reduce%20the%20Size%20of%20a%20Recorded%20Video%20Surveillance%20Systems_wos.pdf Alamin, Sabri Mohammed and Khalifa, Othman Omran (2018) Developing a robust framework to reduce the size of a recorded video surveillance systems. International Journal of Future Generation Communication and Networking, 11 (1). pp. 37-46. ISSN 2233-7857 http://www.sersc.org/journals/IJFGCN/vol11_no1.php 10.14257/ijfgcn.2018.11.1.04
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Alamin, Sabri Mohammed Khalifa, Othman Omran Developing a robust framework to reduce the size of a recorded video surveillance systems
description	Most of the video surveillance strategies take a significant amount of space for storage as surveillance camera's unexceptionally recorded everything during camera – on time. Whereby, it leads to consuming the storage capacity of the device of the system. In fact, many algorithms have been proposed solving in the dilemma to object recognition and compress the video to reduce the size whenever it save's data. Nevertheless, the technology deprived efficient methods to reducing the storage of space for consummation. The Idea of this paper is to propose a framework on how to possibly can be reduce the size of a recorded video of the surveillance system via recording only the part of the video that contains the motion, and ignore the other parts based on the motion detection. The result shows that the framework give an outstanding results on the uncompressed surveillance video recorded from a single fixed camera. The proposed framework enables to save 30% more of playback time and can provide more than 50% of storage of space saving.
format	Article
author	Alamin, Sabri Mohammed Khalifa, Othman Omran
author_facet	Alamin, Sabri Mohammed Khalifa, Othman Omran
author_sort	Alamin, Sabri Mohammed
title	Developing a robust framework to reduce the size of a recorded video surveillance systems
title_short	Developing a robust framework to reduce the size of a recorded video surveillance systems
title_full	Developing a robust framework to reduce the size of a recorded video surveillance systems
title_fullStr	Developing a robust framework to reduce the size of a recorded video surveillance systems
title_full_unstemmed	Developing a robust framework to reduce the size of a recorded video surveillance systems
title_sort	developing a robust framework to reduce the size of a recorded video surveillance systems
publisher	SERSC: Science & Engineering Research Support Society
publishDate	2018
url	http://irep.iium.edu.my/61937/ http://irep.iium.edu.my/61937/ http://irep.iium.edu.my/61937/ http://irep.iium.edu.my/61937/1/Developing%20a%20Robust%20Framework%20to%20Reduce%20the%20Size%20of%20a%20Recorded%20video.pdf http://irep.iium.edu.my/61937/7/61937%20Developing%20a%20Robust%20Framework%20to%20Reduce%20the%20Size%20of%20a%20Recorded%20Video%20Surveillance%20Systems_wos.pdf
first_indexed	2023-09-18T21:27:52Z
last_indexed	2023-09-18T21:27:52Z
_version_	1777412312745902080

Developing a robust framework to reduce the size of a recorded video surveillance systems

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