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By fitting the new frame with the Gaussian model, we extract the background image.
So probabilistic models and statistical tests are used to model and extract the background.
Second, background segmentation difficulty, defined as the complexity to extract the background from the scene, as well as noise presence, lighting changes, shadows, and objects belonging to the background, was proposed.
Since earthquake occurrences consist of aftershocks (Omori 1894) and other types of background seismicity, we extract the background seismicity rate, μ, using the epidemic-type aftershock sequence (ETAS) model (Ogata 1988).
Then binarize is made to extract the background and the moving objects, i.e., pixel value of the background is set to 0 and pixel value of the moving objects is set to 255.
Thus to extract the background the mean image was taken of the 150 frames.
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GenPix® Pro (v 5.1, Molecular Devices, Sunnyvale, CA, USA) was used to extract the background-adjusted intensity of each spot.
However, it is also possible to extract the background-corrected and quantile-normalized intensities of all probes using the function getUnitIntensities.
The first processing step extracts the background of the scene, and thus generates a segmentation of the moving objects.
We first extracted the background transient crustal behavior from the GNSS data by removing the effects of episodic events, such as earthquakes.
Kim et al.'s study [7] accepts MPEG-4 video as input, extracts the background Video Object Plane (VOP) and the primary (foreground) VOP, classifies the background motion type (left motion, right motion, or static) according to its MV field, and finally assigns disparities for the foreground and the background VOPs individually.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com