In this paper, we propose a hierarchical approach for background modeling and moving objects detections in the intelligent visual surveillance system. The proposed approach models the background in block level and pixel level hierarchically, and the background is represented by texture information in block level and by color information in pixel level respectively. Meanwhile the variable parameters learning rate is proposed to speed up the convergence of the model parameters in the pixel model. The proposed approach provides us with many advantages compared to the state-of-the-art. Experimental results demonstrate the effectiveness and efficiency of the proposed approach.
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