%A L.N. Elkhatib
%A F.A. Hussin
%A P. Sebastian
%T Camera sensor network localization using FPGA
%C Kuala Lumpur
%L scholars923
%J 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010
%O cited By 0; Conference of 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:84196
%R 10.1109/ICIAS.2010.5716162
%D 2010
%X 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.
%K Camera calibration; Camera localization; Camera sensor network; Data association; FPGA; Multiple object tracking, Adaptive algorithms; Calibration; Cameras; Computer control systems; Computer hardware; Computer simulation; Embedded systems; General purpose computers; Hardware; Sensor networks, Security systems