Initializing a background frame for gaussianmixturemodel requires no moving objects in the background scene. In this paper, in order to obtain an initial frame when there is a moving object in the background scene, ...
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Initializing a background frame for gaussianmixturemodel requires no moving objects in the background scene. In this paper, in order to obtain an initial frame when there is a moving object in the background scene, filtering algorithm is used for background frame initialization. This paper proposes an improved method for updating gaussianmixture *** the initial stage of the GMM, the update rate of the mean and variance is taken as a larger value, so that the model mean and variance update speed becomes faster, and the model learning speed is accelerated;after training for a period of time with a large update rate, let The mean update rate is unchanged, and the variance update rate becomes smaller, so that the backgroundmodel can be more stable.
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