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For a horizontal bounding box R, and represent the mean vector and covariance matrix of the Gaussian distribution, which can be fitted into a two-dimensional Gaussian distribution N (, ), where: In this way, the similarity between bounding boxes is transformed into the distance between Gaussian distributions, where ( c x, , c y ) are the center coordinates of the bounding box, and w and h are the width and height