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Content Provider | IEEE Xplore Digital Library |
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Author | Elkhatib, L.N. Hussin, F.A. Sebastian, P. |
Copyright Year | 2010 |
Description | Author affiliation: Electrical and Electronic Engineering Department, University Teknologi PETRONAS, Malaysia (Elkhatib, L.N.; Hussin, F.A.; Sebastian, P.) |
Abstract | 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. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 128245 |
Page Count | 6 |
File Format | |
ISBN | 9781424466238 |
e-ISBN | 9781424466252 |
DOI | 10.1109/ICIAS.2010.5716162 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-06-15 |
Publisher Place | Malaysia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Tracking Adaptation model FPGA Random access memory camera calibration Camera sensor network data association multiple object tracking camera localization Cameras Hardware Field programmable gate arrays Pixel |
Content Type | Text |
Resource Type | Article |
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