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1 May 2012 Movement detection using an order statistics algorithm
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Abstract
In this paper, we present a novel algorithm to motion detection in video sequences. The proposed algorithm is based in the use of the median of the absolute deviations from the median (MAD) as a measure of statistical dispersion of pixels in a video sequence to provide the robustness needed to detect motion in a frame of video sequence. By using the MAD, the proposed algorithm is able to detect small or big objects, the size of the detected objects depend of the size of kernel used in the analysis of the video sequence. Experimental results in the human motion detection are presented showing that the proposed algorithm can be used in security applications.
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José Portillo-Portillo, Francisco J. Gallegos-Funes, Alberto J. Rosales-Silva, and Volodymyr Ponomaryov "Movement detection using an order statistics algorithm", Proc. SPIE 8437, Real-Time Image and Video Processing 2012, 84370O (1 May 2012); https://doi.org/10.1117/12.924143
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