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Gaussian means equal to the peak position of ACF which carries periodic information about the original signal in a certain frequency range.
In all methods, only the Gaussian means are updated.
In formula (6), there are four parameters component number, Gaussian means, Gaussian variances, and Gaussian mixture coefficients to be computed.
In this adaptation, the parameters of a universal background model (UBM), which are estimated from all video clips using expectation maximization (EM) algorithm, are utilized as the prior distribution for Gaussian means.
Here, τ k denotes the prior probabilities (normalized suchlike that (sum _{k=1}^{K}tau _{k}=1)) and (boldsymbol {Theta }=left (begin {array}{l} mu _{1} dots mu _{K} sigma _{1} dots sigma _{K} end {array}right))is a 2×K matrix containing all the Gaussian means and standard deviations.
Thus associated with each cell type k is a vector of M Gaussian means (μ k, 1 g, ⋯, μ k, M g ), and a mixture vector π k.
Similar(54)
A simple example is the running Gaussian mean as used in the Pfinder algorithm [20].
The following loop sets readable textures where the old Gaussian mean and covariance will be read.
A more sophisticated method using difference of Gaussian mean shift kernel in scale space has been proposed in [13].
Second, the sample is most informative when location of the Gaussian mean coincides with the central Likert bin.
Additionally, the sample is most informative when location of the Gaussian mean coincides with the central Likert bin.
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