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Probabilistic Background Modelling for Sports Video Segmentation

This paper introduces a segmentation algorithm based on the probabilistic modelling of the background color using a Lambertian formulation of the scene’s appearance. Central in our formulation is the computation of the degree of light visibility at the scene location depicted by each pixel. Because our approach specifically models the formation of shadows, segmentation results are of high accuracy. The quality of our results is further boosted by utilizing key observations about scene appearance. A qualitative and quantitative evaluation indicates that the proposed method performs better than commonly used segmentation algorithms, both for sports as well as for generic datasets.