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.
![]() |
PDF
- Accepted Version
Restricted to Registered users only 140Kb |
Official URL: http://dx.doi.org/10.1109/ICIAS.2010.5716162
Abstract
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.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Academic Subject One: | Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Programmable Devices |
Departments / MOR / COE: | Departments > Electrical & Electronic Engineering Centre of Excellence > Center for Intelligent Signal and Imaging Research Research Institutes > Institute for Health Analytics |
ID Code: | 2093 |
Deposited By: | Dr Fawnizu Azmadi Hussin |
Deposited On: | 28 Jul 2010 08:26 |
Last Modified: | 19 Jan 2017 08:23 |
Repository Staff Only: item control page