Automated surveillance in distributed, wireless visual networks: a comparative study

A number of algorithms have been recently proposed for automatic intruder detection from CCTV images. Past researchers have tested these algorithms on centralized networks where all images are transmitted to a central control room. This paper demonstrates the applicability of a selection of such alg...

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Main Authors: Ahmed, Tarem, Ahmed, Supriyo, Pathan, Al-Sakib Khan
Format: Proceeding Paper
Language:English
English
English
Published: 2013
Subjects:
Online Access:http://irep.iium.edu.my/33568/
http://irep.iium.edu.my/33568/1/Cover.pdf
http://irep.iium.edu.my/33568/2/ToC.pdf
http://irep.iium.edu.my/33568/3/1.pdf
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author Ahmed, Tarem
Ahmed, Supriyo
Pathan, Al-Sakib Khan
author_facet Ahmed, Tarem
Ahmed, Supriyo
Pathan, Al-Sakib Khan
author_sort Ahmed, Tarem
building IIUM Repository
collection Online Access
description A number of algorithms have been recently proposed for automatic intruder detection from CCTV images. Past researchers have tested these algorithms on centralized networks where all images are transmitted to a central control room. This paper demonstrates the applicability of a selection of such algorithms to a distributed network of wireless visual sensors. An empirical comparative study of the most popular of such algorithms on a simulation of a wireless sensor network is presented. In addition, this paper provides further evidence in support of the most effective of such algorithms to the problem of anomaly detection in image streams.
first_indexed 2025-11-14T15:38:58Z
format Proceeding Paper
id iium-33568
institution International Islamic University Malaysia
institution_category Local University
language English
English
English
last_indexed 2025-11-14T15:38:58Z
publishDate 2013
recordtype eprints
repository_type Digital Repository
spelling iium-335682014-01-13T03:57:24Z http://irep.iium.edu.my/33568/ Automated surveillance in distributed, wireless visual networks: a comparative study Ahmed, Tarem Ahmed, Supriyo Pathan, Al-Sakib Khan QA75 Electronic computers. Computer science A number of algorithms have been recently proposed for automatic intruder detection from CCTV images. Past researchers have tested these algorithms on centralized networks where all images are transmitted to a central control room. This paper demonstrates the applicability of a selection of such algorithms to a distributed network of wireless visual sensors. An empirical comparative study of the most popular of such algorithms on a simulation of a wireless sensor network is presented. In addition, this paper provides further evidence in support of the most effective of such algorithms to the problem of anomaly detection in image streams. 2013 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/33568/1/Cover.pdf application/pdf en http://irep.iium.edu.my/33568/2/ToC.pdf application/pdf en http://irep.iium.edu.my/33568/3/1.pdf Ahmed, Tarem and Ahmed, Supriyo and Pathan, Al-Sakib Khan (2013) Automated surveillance in distributed, wireless visual networks: a comparative study. In: Proceedings International Workshop Mobile and Wireless 2013, 11-13 December 2013, Jeju Island, South Korea. http://sersc.org/proceedings/vol42_2013.php
spellingShingle QA75 Electronic computers. Computer science
Ahmed, Tarem
Ahmed, Supriyo
Pathan, Al-Sakib Khan
Automated surveillance in distributed, wireless visual networks: a comparative study
title Automated surveillance in distributed, wireless visual networks: a comparative study
title_full Automated surveillance in distributed, wireless visual networks: a comparative study
title_fullStr Automated surveillance in distributed, wireless visual networks: a comparative study
title_full_unstemmed Automated surveillance in distributed, wireless visual networks: a comparative study
title_short Automated surveillance in distributed, wireless visual networks: a comparative study
title_sort automated surveillance in distributed, wireless visual networks: a comparative study
topic QA75 Electronic computers. Computer science
url http://irep.iium.edu.my/33568/
http://irep.iium.edu.my/33568/
http://irep.iium.edu.my/33568/1/Cover.pdf
http://irep.iium.edu.my/33568/2/ToC.pdf
http://irep.iium.edu.my/33568/3/1.pdf