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학술대회 Background Generation using Mean-Shift and Fast Marching Method
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저자
조상현, 강행봉, 유장희
발행일
200912
출처
International Conference on Computer Science and Its Applications (CSA) 2009, pp.1-6
DOI
https://dx.doi.org/10.1109/CSA.2009.5404240
협약과제
09MS5500, 개인신변 안전보장을 위한 영상보안 기술개발, 한종욱
초록
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 values, Traditional methods, Video surveillance system, mean-shift algorithm, object Tracking, spatial information