In real-time vehicle type recognition, shadows interfere with moving vehicle extraction, location and recognition due to light. We propose a simple and effective method to segment moving vehicle cast shadow. The proposed method exploits spectral and geometrical properties of shadows and relationship between the point in shadow region and space position and shape of vehicle. Feature points of occluding function are detected using multi-resolution of wavelet transform and the boundary between self-shadow and cast shadow is detected. Firstly, the shadow can be coarsely segmented by the shadow spectral property, and then the feature points are extracted by multi-scale wavelet transform. The proposed method can effectively segment moving vehicle cast shadow. It needs not know in advance the information of the light direction, vehicle color and background texture. Our experimental results show that the proposed method is robust and effective in detecting shadows.