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Stationary and Periodic Background Decision Using Improved MOG Algorithm

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In this paper, we propose an improved mixture of Gaussian (MOG) algorithm using an adaptive threshold. The proposed algorithm divides a background into a static background and a periodic background, designates an appropriate threshold for them, and thereby resolves the delayed background recognition problem of the conventional algorithms. The experimental result showed that the proposed algorithm reduced the delay of background recognition from 137 frames to 4 frames in a periodic background.
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Keywords: Adaptive Threshold; MOG; Periodic Background; Static Background

Document Type: Research Article

Affiliations: Department of Aerospace Software Engineering, Hanseo University, Seosan, Chungnam 31962, Korea

Publication date: April 1, 2017

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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