Yuhao Jiang
ABSTRACT
Background detection is an important procedure for visual information processing with static cameras. In real applications, background always co-occurred with disturbance information such as small motions and unusual lighting conditions. In this paper, a robust method is proposed by using the spatial codebook method, where the elementary codebook generation unit is the pixels with their neighborhood ones. In the training procedure. features are first extracted for spatial unit. Second, a clustering technique using k-means method is adopted to generate the preliminary codebook. Then the outlier removal technique is used to obtain more descriptive codebook. In the testing procedure, if the pixel belongs to the background region, it should be represented by one of the generated codebooks. Experimental evaluations show that the proposed method is effective in clustered background.
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Index Terms
- Spatial codebook for robust background detection in visual information analysis
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