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This paper presents a novel approach for eliminating unexpected shadows from multiple pedestrians from a static and textured background using Gaussian shadow modeling. First, a set of moving regions are segmented from the static background using a background subtraction technique. The extracted moving region may contain multiple shadows from various pedestrians. In order to remove these unwanted shadows completely, a histogram-based method is proposed for isolating each pedestrian from the extracted moving region. Based on the results, a coarse-to-fine shadow modeling process is then applied for eliminating the unwanted shadow from the detected pedestrian. At the coarse stage, a moment-based method is first used for obtaining the rough shadow boundaries. Then, the rough approximation of the shadow region can be further refined through Gaussian shadow modeling. The chosen shadow …