Abstract

Background subtraction is popular in moving object detection, but it is weak under the complex dynamic background where there are serious variations of illumination and color in the background pixels. This paper studies one of the background subtraction method, codebook, and propose an improved codebook model to resolve this problem. The novelty of the model lies in two aspects: 1) it applies HSV color space into the block-based codebook for robust codebook construction; 2) it also includes an efficient correction mechanism to update the codebook and eliminate false targets during detection. Experimental results demonstrate the proposed codebook model can detect the moving target effectively.

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