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(a) Traditional object detection based on background subtraction.
Object detection and tracking can be performed based on background subtraction results.
Initial background estimation in video processing serves as bootstrapping model for moving object detection based on background subtraction.
To separate shadows from foreground blobs, we apply a morphological close filter on background subtraction results to fill the gaps.
So I wrote a paper on background subtraction algorithms — how to find a foreground object differentiated from the background — and applied those algorithms to my baby.
In this paper we present a low-complexity algorithm based on background subtraction and error resilience techniques aimed at reducing the transmission bandwidth of a video stream of uncompressed images thus permitting a higher frame rate.
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Here, we analyze in detail one component of this analysis – the effect of background subtraction on the temperature of loops observed with the Transition Region and Coronal Explorer (TRACE).
With use of background subtraction method based on Gaussian combination, the binary image which includes moving information will use in the mean-shift algorithm.
Data were acquired on randomly-oriented powders packed in polyimide capillaries having a diameter of 1 mm and on empty capillary used for background subtraction.
From now on, we will concentrate our attention only to background subtraction algorithms.
Unlike the existing methods based on a background subtraction scheme, the proposed CICA is less dependent on the background model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com