Description: Block-based background modeling couldn’t obtain the exact shape of foreground, while pixel-based approaches
couldn’t handle non-stationary backgrounds effectively. To solve the problem, a hierarchical scheme for background
modeling was presented. The hierarchical model used block-based method proposed to obtain coarse background and foreground
regions firstly, and then the operations of pixel-level foreground refining and model updating based on Gaussian
mixture model were performed on special regions of the input image. These two algorithms in different levels were combined
by adopting an asymmetric feed-forward strategy. Experimental results show that the hierarchical method proposed
can obtain the exact shape of foreground and process non-stationary scenes well, in addition, it is insensitive to illumination
change and can provide better results than any single approach in it, meanwhile, the integrated computation time is
shorter than the sum of those of running the block an
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基于像素与子块的背景建模级联算法_解文华.pdf
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