Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms

This article was published in the International Journal of Control and Automation [© 2014 Science and Engineering Research Support Society] and the definite version is available at: http://doi.org/10.14257/ijca.2014.7.3.37 The Article's website is at: http://www.sersc.org/journals/IJCA/vol7_n...

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Main Authors: Ahmed, Tarem, Ahmed, Supriyo Sabbir, Pathan, Al-Sakib Khan
מחברים אחרים: Department of Electrical and Electronic Engineering
פורמט: Article
שפה:English
יצא לאור: © 2014 Science and Engineering Research Support Society 2016
גישה מקוונת:http://hdl.handle.net/10361/7032
id 10361-7032
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spelling 10361-70322016-11-29T08:39:04Z Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms Ahmed, Tarem Ahmed, Supriyo Sabbir Pathan, Al-Sakib Khan Department of Electrical and Electronic Engineering This article was published in the International Journal of Control and Automation [© 2014 Science and Engineering Research Support Society] and the definite version is available at: http://doi.org/10.14257/ijca.2014.7.3.37 The Article's website is at: http://www.sersc.org/journals/IJCA/vol7_no3.php A number of algorithms have been recently proposed for automatic intruder detection from CCTV images. Past researchers have typically tested these algorithms on centralized networks where all images are transmitted to a central control room. This paper demon- strates the applicability of a selection of such algorithms to a distributed network of wireless sensors. A distributed network of wireless visual sensors was simulated using a number of high-resolution webcams setup in the hallways of an academic building. The selected algo- rithms were then applied in a distributed fashion at each node. An empirical comparison of the most popular of the recent algorithms on a simulation of a wireless sensor network was thus obtained. This paper provides corroborating evidence in support of the most effective of such algorithms to the problem of automatic anomaly detection from image streams. 2016-11-29T08:34:35Z 2016-11-29T08:34:35Z 2014 Article Ahmed, T., Ahmed, S., & Pathan, A. -. K. (2014). Automated surveillance in distributed, visual networks: An empirical comparison of recent algorithms. International Journal of Control and Automation, 7(3), 389-400. doi:10.14257/ijca.2014.7.3.37 20054297 http://hdl.handle.net/10361/7032 10.14257/ijca.2014.7.3.37 en http://www.sersc.org/journals/IJCA/vol7_no3.php © 2014 Science and Engineering Research Support Society
institution Brac University
collection Institutional Repository
language English
description This article was published in the International Journal of Control and Automation [© 2014 Science and Engineering Research Support Society] and the definite version is available at: http://doi.org/10.14257/ijca.2014.7.3.37 The Article's website is at: http://www.sersc.org/journals/IJCA/vol7_no3.php
author2 Department of Electrical and Electronic Engineering
author_facet Department of Electrical and Electronic Engineering
Ahmed, Tarem
Ahmed, Supriyo Sabbir
Pathan, Al-Sakib Khan
format Article
author Ahmed, Tarem
Ahmed, Supriyo Sabbir
Pathan, Al-Sakib Khan
spellingShingle Ahmed, Tarem
Ahmed, Supriyo Sabbir
Pathan, Al-Sakib Khan
Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
author_sort Ahmed, Tarem
title Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
title_short Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
title_full Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
title_fullStr Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
title_full_unstemmed Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
title_sort automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
publisher © 2014 Science and Engineering Research Support Society
publishDate 2016
url http://hdl.handle.net/10361/7032
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