Moving object detection with cast shadow suppression

This paper presents a moving object detection method with cast shadow suppression in the RGB color space. Firstly, the background model is constructed by the metrically trimmed mean and updated adaptively. Then, the information of brightness, texture, and chromaticity is fused to discriminate the shadow and the moving object. Our experimental results demonstrate the good performance of the proposed method.