Robust Moving Cast Shadows Detection and Removal with Reliability Checking of the Color Property

In this paper, we propose a novel method that is capable of detecting and removing moving cast shadows robustly. Four properties of the moving cast shadows are observed. To make full use of the four properties, pixel level processing is adopted to extract the color, texture and luminance features of the moving foreground, and region level processing is introduced to detect shadows. Another innovation is that we also propose a method to check the reliability of the color feature that will be used only when it is reliable. Furthermore, by introducing the geometric center detection as a prejudge step, the efficiency of the method gets improved. The experimental results prove that the proposed method is effective and robust.