Adaptive background modeling with shadow suppression

Background subtraction is a typical technique used for real-time segmentation of moving objects in video sequences. A novel background subtraction scheme is presented in this paper. To cope with background change problems such as gradual illumination changes and moved background objects, an efficient background updating algorithm based on Dynamic Information Window(DIW) is proposed. Updating decisions are made according to the pixel-wise Dynamic Information Window. To cope with shadow problem, a new computational color model is proposed. Chromaticity distortion is measured in an effective way. Experiments have been performed on a surveillance system in indoor environments as well as outdoor environments. The experimental results demonstrate the effectiveness of the proposed approach.