Abstract

Among existing indoor localization systems, considering the costs and accuracy, RFID has been one of the best choices for indoor positioning. However, years of research experiences found that the signal strength of RFID is not sufficiently stable and sensitive to the indoor environment and furniture, which reduce positioning accuracy. Therefore, this paper proposed an indoor localization and identification system, bases on active RFID and vision tracking technologies. This system has a more flexible RFID triangular layout method and a more efficient sensing overlap analysis mechanism. By integrating the precise positioning information of video images, the proposed system not only reduces the costs, but also improves the computing efficiency and positioning accuracy.

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