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Major calibration steps include corrections for linearity and modeling and subtraction of bias, dark current, read-out smear, and pixel-to-pixel responsivity variations.
We detect the vehicles using the background modeling and subtraction (BGS) model.
Background modeling and subtraction is mainly used in video surveillance where the background is relatively fixed and static.
Although background modeling and subtraction is helpful, pedestrian detection is still difficult since subtraction result can contain many errors.
Traditionally, background modeling and subtraction methods [21] have a strong assumption where the scenes of static structures are with limited perturbation.
To address these issues, a hierarchical background modeling and subtraction [3] and a self-adaptive background matching method [4] have been proposed.
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Once the image has been filtered, the system detects objects using a background modelling and subtraction algorithm.
The proposed method consists of three main modules, namely, modelling, matching and subtraction modules.
Meanwhile, target pre-location is used by combining the mixture of Gaussian (MoG) model and background subtraction, which can greatly reduce the following detection time.
Kinetic parameters were analyzed using the 1 1 binding model with drifting baseline and subtraction of the control flow cell binding from sensorgrams obtained with immobilized CI.
Note that there could be different synthetic reactants in a composed model during the evolutionary model learning process, because of the use of genetic addition and subtraction operators.
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modeling and analysis
modeling and rendering
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modeling and theory
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