Abstract: Based on Generalized Fused Lasso (GFL) foreground model and the texture information of video, this paper proposes a moving target extraction method based on texture features. This method uses GFL foreground model to extract foreground moving object and background. Then it extracts the texture features of foreground and background in many directions by LBP algorithm, compares the similarity of two texture features, and removes the misjudged shadow regions in the foreground， which can reduce the cast shadows due to occlusion of moving targets. The paper also introduces the misjudgment rate to describe the accuracy of model. By testing real scenes that contain cast shadows, such as squares, offices, and gymnasiums, the proposed algorithm can effectively monitor the areas where shadows are cast.

Key words: foreground detection, texture features, shadow removal