relation: https://khub.utp.edu.my/scholars/923/
title: Camera sensor network localization using FPGA
creator: Elkhatib, L.N.
creator: Hussin, F.A.
creator: Sebastian, P.
description: Camera networks are important in a video surveillance system. Many 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. We used Adaptive Hybrid deference Algorithm for tracking objects, 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.
date: 2010
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Elkhatib, L.N. and Hussin, F.A. and Sebastian, P.  (2010) Camera sensor network localization using FPGA.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952761818&doi=10.1109%2fICIAS.2010.5716162&partnerID=40&md5=bedd092196f362cdc57be4e049ed5433
relation: 10.1109/ICIAS.2010.5716162
identifier: 10.1109/ICIAS.2010.5716162