An efficient algorithm for shadow and highlight removal in nonparametric moving object detection strategies is proposed. By the nonparametric modeling of the variations of the brightness and the chromaticity along the sequences, shadows and highlights are identified. In this way, the quality of the detections is significantly improved.
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