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We evaluate the performance of the background update.
Background update is stopped if there is any detected target.
This makes the background update automatically according to a certain statistical regularity.
Whether to stop background update or not if DWS is active.
If we consider the state of the DWS to stop background update, we obtain better results.
Thus, it is capable of adapting with the illumination change without any requirement of background update.
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"We've already implemented background updates.
Fig. 5 Background updating.
It just runs in the background, updating your location.
A background subtraction approach usually considers three main issues: background representation, background updating, and background initialization [1].
Then, each subsequent modeled background frame B t is obtained by pixel-wise background updating.
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