A Simple and Effective Method to Segment Moving Vehicle Cast Shadow
Liu Zhi Fang, Wang Yun Qiong · 2006
According to light, shadows interfere with moving vehicle extraction and location and recognition. For this reason, shadow segmentation is an important step in real-time vehicle recognition system. In this paper, 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 wave transform and the boundary between self-shadow and cast shadow is detected. The proposed method does not know in advance the light direction and the color information of vehicle and background information. Our experimental results show that the proposed method is robust and effective in detecting shadows.