Background Generation Using Mean-Shift and Fast Marching Method
Sang Hyun Cho, Hang-Bong Kang, Jang‐Hee Yoo · 2009
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 non- moving objects for a certain period. Experimental results show that our proposed method is more efficient than the traditional method.