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A Novel Approach to Shadow Detection in Video-based Virtual Reality Interaction

When detecting moving shadow for video-based virtual reality interaction (VBVRI), we need not concern the original moving object that casts the shadow. It is based on this feature of application that a novel algorithm of moving shadow detection is proposed in this paper, which primarily introduces a two-step shadow discriminator and an improvement upon the classical Gaussian Mixture Model (GMM). The new algorithm markedly enhances the real-time performance of shadow detection opposed to that of GMM, and exhibits an outstanding resistance against the disturbance that arises from abrupt lighting changes.