Abstract
An efficient algorithm for rigid or non-rigid moving object segmentation in the static camera environment is proposed. For robust motion detection, the algorithm performs statistical modelling of the moving objects and background and detects moving pixels by the Bayes decision method with a Gaussian blurred background probability density function.
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