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Video foreground/background segmentation is to extract relevant objects (the foreground) from the background of a video sequence, which is an important step in many computer vision applications. In this study, the spatially distributed model is built by a splitting process using Gaussian probability distribution functions in spatial and color spaces. Then, edge-based shadow cancellation is employed to obtain more robust segmentation results. The proposed approach can well handle illumination variations, shadow effect, and dynamic scenes in video sequences. Based on experimental results obtained in this study, as compared with two comparison approaches, the proposed approach provides the better video segmentation results.

Video Foreground/Background Segmentation using Spatially Distributed Model and Edge-based Shadow Cancellation