In this paper, we propose a method for calculating the dynamic background region in a video\nand removing false positives in order to overcome the problems of false positives that occur due to\nthe dynamic background and frame drop at slow speeds. Therefore, we need an efficient algorithm\nwith a robust performance value including processing speed. The foreground is separated from the\nbackground by comparing the similarities between false positives and the foreground. In order to\nimprove the processing speed, the median filter was optimized for the binary image. The proposed\nmethod was based on a CDnet 2012/2014 dataset and we achieved precision of 76.68%, FPR of 0.90%,\nFNR of 18.02%, and an F-measure of 75.35%. The average ranking across categories is 14.36, which is\nsuperior to the background subtraction method. The proposed method was operated at 45 fps (CPU),\n150 fps (GPU) at 320*240 resolution. Therefore, we expect that the proposed method can be applied\nto current commercialized CCTV without any hardware upgrades.
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