@inproceedings{scholars923,
            year = {2010},
             doi = {10.1109/ICIAS.2010.5716162},
            note = {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},
         journal = {2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010},
         address = {Kuala Lumpur},
           title = {Camera sensor network localization using FPGA},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952761818&doi=10.1109\%2fICIAS.2010.5716162&partnerID=40&md5=bedd092196f362cdc57be4e049ed5433},
        keywords = {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},
        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.},
          author = {Elkhatib, L. N. and Hussin, F. A. and Sebastian, P.},
            isbn = {9781424466238}
}