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The P-value P-value(M, α) is the probability that the background model can achieve a score equal to or greater than α.
This is done by defining the P-value of a score, which is the probability that the background model can achieve a score larger than or equal to the observed value.
Given a matrix M of length m and a score α, we define Q(M, α) as the probability that the background model can achieve a score equal to α.
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Physical models can achieve high predictive accuracy if appropriately built.
An excellent background model can obtain a good foreground detection results.
A study of some well-known background models can be found in [8 10] and references therein.
Then, the computation and storage loads on background modelling can be significantly reduced.
She has shown what a woman from an unprivileged background can achieve in modern Scotland.
None has yet discovered a revenue model that can achieve dramatic growth.
Right across the country brilliant heads and teachers are showing that with high aspiration, children, regardless of background, can achieve excellence.
The bokeh (background blur) you can achieve with this camera is astounding, given its size.
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