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학술대회 Background Generation using Mean-Shift and Fast Marching Method
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조상현, 강행봉, 유장희
International Conference on Computer Science and Its Applications (CSA) 2009, pp.1-6
Background generation is very important for accurate object tracking in the video surveillance system. Traditional background generation techniques cause some problems when there have been non-moving objects for a long time. To overcome this problem, we propose a new background generation method using mean-shift and Fast Marching Method (FMM) that fuse pixel information along temporal and spatial dimensions. The mode of pixel value density along time axis is estimated by mean-shift algorithm and spatial information is evaluated by FMM, and then they are fused together to generate desirable background for nonmoving objects for a certain period. Experimental results show that our proposed method is more efficient than the traditional method. © 2009 IEEE.
KSP 제안 키워드
Background generation, Fast Marching method, Long Time, Mean-shift(MS), Moving Object, Pixel Value, Traditional methods, Video surveillance system, mean-shift algorithm, object Tracking, spatial information