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Some approaches on background initialization can be found in [12, 13] and references therein.
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Furthermore, for HMMs, initialization can be taken in different ways, which could lead to very different results.
Background information can be normalized.
The arguments to the initialization
Therefore, the initialization procedure can be defined as a multi-objective optimization problem.
A scientific background can be helpful, too.
More details on this initialization method can be found in Appendix C.
Thus, the decoding time with this initialization technique can be refined in (8).
If we have no a priori information on initialization, P 0) can be set to infinite matrix.
Background can be found here.
That is, background initialization for bootstrapping video sequences can be defined as follows: given a video sequence captured by a stationary camera, in which the background is occluded by some foreground objects in each frame of the video sequence, the aim is to estimate a background frame without foreground objects [22, 24].
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