Camera Sensor Network Localization Using FPGA

Camera networks are important in a video surveillance system. A lot of surveillance systems research has been done; most of it utilizes a general purpose computer. However, the latest trend is to use small, task specific and low power computer to process and control the system; in another word using...

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Main Authors: El-khatib, Lina Noaman, Hussin, Fawnizu Azmadi, Sebastian , Patrick
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/2093/
http://scholars.utp.edu.my/id/eprint/2093/1/1569276137.pdf
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author El-khatib, Lina Noaman
Hussin, Fawnizu Azmadi
Sebastian , Patrick
author_facet El-khatib, Lina Noaman
Hussin, Fawnizu Azmadi
Sebastian , Patrick
author_sort El-khatib, Lina Noaman
building UTP Institutional Repository
collection Online Access
description Camera networks are important in a video surveillance system. A lot of surveillance systems research has been done; most of it utilizes a general purpose computer. However, the latest trend is to use small, task specific and low power computer to process and control the system; in another word using embedded systems. This paper presents a camera network localization algorithm to be implemented on a FPGA device. An algorithm that uses object image tracking to determine cameras’ locations is used. For tracking moving objects, there are a lot of techniques available. Adaptive Hybrid Deference Algorithm is one of the tracking algorithms. We use that algorithm, simulate it and study its feasibility. A hardware design is needed before programming the FPGA. We have developed a hardware design model; which is currently under testing and simulation.
first_indexed 2025-11-13T07:26:41Z
format Conference or Workshop Item
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institution Universiti Teknologi Petronas
institution_category Local University
language English
last_indexed 2025-11-13T07:26:41Z
publishDate 2010
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spelling oai:scholars.utp.edu.my:20932017-01-19T08:23:59Z http://scholars.utp.edu.my/id/eprint/2093/ Camera Sensor Network Localization Using FPGA El-khatib, Lina Noaman Hussin, Fawnizu Azmadi Sebastian , Patrick QA75 Electronic computers. Computer science Camera networks are important in a video surveillance system. A lot of surveillance systems research has been done; most of it utilizes a general purpose computer. However, the latest trend is to use small, task specific and low power computer to process and control the system; in another word using embedded systems. This paper presents a camera network localization algorithm to be implemented on a FPGA device. An algorithm that uses object image tracking to determine cameras’ locations is used. For tracking moving objects, there are a lot of techniques available. Adaptive Hybrid Deference Algorithm is one of the tracking algorithms. We use that algorithm, simulate it and study its feasibility. A hardware design is needed before programming the FPGA. We have developed a hardware design model; which is currently under testing and simulation. 2010-06-15 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2093/1/1569276137.pdf El-khatib, Lina Noaman and Hussin, Fawnizu Azmadi and Sebastian , Patrick (2010) Camera Sensor Network Localization Using FPGA. In: International Conference on Intelligent and Advanced Systems (ICIAS 2010), 15-17 June, 2010, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICIAS.2010.5716162
spellingShingle QA75 Electronic computers. Computer science
El-khatib, Lina Noaman
Hussin, Fawnizu Azmadi
Sebastian , Patrick
Camera Sensor Network Localization Using FPGA
title Camera Sensor Network Localization Using FPGA
title_full Camera Sensor Network Localization Using FPGA
title_fullStr Camera Sensor Network Localization Using FPGA
title_full_unstemmed Camera Sensor Network Localization Using FPGA
title_short Camera Sensor Network Localization Using FPGA
title_sort camera sensor network localization using fpga
topic QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/2093/
http://scholars.utp.edu.my/id/eprint/2093/
http://scholars.utp.edu.my/id/eprint/2093/1/1569276137.pdf