Location tracking system to improve the performance of video information service based on M2M network
by Min-Ho Jeon; Chang-Heon Oh
International Journal of Information and Communication Technology (IJICT), Vol. 8, No. 2/3, 2016

Abstract: A various range of services using image information has been provided in recent years. However, services specific for searching location status and providing people location information are insufficient. This study proposes a visual information service system that classifies images using information transmitted from a mobile object, and identifies a person's location and identity using screen coordinates and image processing algorithms. This system divides visual information into a cell unit by applying perspective projection formulas to image/video information collected by screen coordinates, and then organises blocks by substituting GPS data to each cell. Subsequently, the system senses human motion by comparing an image of current frame with previous frames, and recognises a person by comparing GPS data of motion detected area with real-time GPS data. According to test results, the recognition rate was lowered due to pixel noise generated by environmental factors. When tests were re-performed by eliminating external environmental parameters, it was found out that noises were minimised and motion detection was substantially improved.

Online publication date: Sun, 21-Feb-2016

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