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Most block-wise background initialization approaches need large memories and are computationally expensive.
Then, each subsequent modeled background frame B t is obtained by pixel-wise background updating.
Lin et al. [32] used a classifier to determine whether an image block belongs to the background for block-wise background updating.
For the popular background subtraction approach called the Gaussian background model, Stauffer and Grimson [4] presented a pixel-wise background representation scheme using the mixture of Gaussians (MoG) and pixel-wise background updating to update the intensity mean and variance of each pixel in real-time.
In this study, an effective background initialization and foreground segmentation approach for bootstrapping video sequences is proposed, which contains a block-wise background initialization procedure and a pixel-wise foreground segmentation procedure.
The Global background compensation is a simple method to minimize the array-wise background level by subtracting the array PM intensity minimum from all PM values, i.e. resetting each array intensity distribution to start at zero prior to normalization.
Probe-wise background correction (Robust Multi-array Average expression measure), between-array normalization (quantile normalization) and probe set summaries (median polish algorithm) were calculated with the RMA function of the Affymetrix package (Affy package version 1.38.1) [ 23].
Work wise, his background is in law but he also worked for adidas and since built up an impressive reputation in business.
Chiu et al. [29] proposed a pixel-wise color background modeling approach using probability theory and clustering.
For this reason, it is wise to neglect the background region which causes abnormalities.
Most algorithms employ independent pixel-wise models for the background to aid fast hardware implementations.
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