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http://dx.doi.org/10.6109/jkiice.2013.17.10.2419

Improved MOG Algorithm for Periodic Background  

Jeong, Yong-Seok (Department of Image Science & Engineering, Pukyong National University)
Oh, Jeong-Su (Department of Image Science & Engineering, Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.10, 2013 , pp. 2419-2424 More about this Journal
Abstract
In a conventional MOG algorithm, a small threshold for background decision causes the background recognition delay in a periodic background and a large threshold makes it recognize passing objects as background in a stationary background. This paper proposes the improved MOG algorithm using adaptive threshold. The proposed algorithm estimates changes of weight in the dominant model of the MOG algorithm both in the short and long terms, classifies backgrounds into the stationary and periodic ones, and assigns proper thresholds to them. The simulation results show that the proposed algorithm decreases the maximum number of frame in background recognition delay from 137 to 4 in the periodic background keeping the equal performance with the conventional algorithm in the stationary background.
Keywords
MOG; Background image; Surveillance camera; Object detection;
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