In video motion detection, moving shadow is often mistakenly detected as moving objects. In order to solve this problem, a moving shadow detection method is presented, which uses Haar Local Binary Pattern (HLBP) to detect shadow. Firstly, HLBP feature of detected moving regions and corresponding regions in the background is extracted. Secondly, it uses Manhattan Distance to measure the difference of HLBP feature between the two regions to get a map about texture difference. Finally, Ostu algorithm is employed to segment texture difference map to get a mask of moving objects, and then moving objects are extracted. The experimental results show that the proposed method can effectively detect moving shadow in some outdoor and indoor scenes in real time.