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http://dx.doi.org/10.6109/jkiice.2013.17.8.1919

Motion-Based Background Image Extraction for Traffic Environment Analysis  

Oh, Jeong-Su (Department of Image Science & Engineering, Pukyong National University)
Abstract
This paper proposes a background image extraction algorithm for traffic environment analysis in a school zone. The proposed algorithm solves the problems by level changes and stationary objects to be occurred frequently in traffic environment. For the former, it renews rapidly the background image toward the current frame using a fast Sima-Delta algorithm and for the latter, it excludes the stationary objects from the background image by detecting dynamic regions using a just previous frame and a background image averaged for a long time. The results of experiments show that the proposed algorithm adapts quickly itself to level change well, and reduces about 40~80% of SAD in background region in comparison with the conventional algorithms.
Keywords
Background image; Traffic environment; Surveillance camera; Object detection;
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