TY  - CONF
A1  - Elkhatib, L.N.
A1  - Hussin, F.A.
A1  - Sebastian, P.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952761818&doi=10.1109%2fICIAS.2010.5716162&partnerID=40&md5=bedd092196f362cdc57be4e049ed5433
SN  - 9781424466238
Y1  - 2010///
ID  - scholars923
TI  - Camera sensor network localization using FPGA
KW  - Camera calibration; Camera localization; Camera sensor network; Data association; FPGA; Multiple object tracking
KW  -  Adaptive algorithms; Calibration; Cameras; Computer control systems; Computer hardware; Computer simulation; Embedded systems; General purpose computers; Hardware; Sensor networks
KW  -  Security systems
N1  - 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
N2  - 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.
AV  - none
CY  - Kuala Lumpur
ER  -