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background subtraction with lbp
4.0
This m-file implements the mixture of Gaussians algorithm for background subtraction by using local binary patterns. first, the binary patterns of the first frame of video frame is computed. second, we calculate the histograms models of lbp in circular regions of different radius around each pixel. third, we compute the histogram lbp at each pixel of next frame that is compared with each histogram model by using histogram intesection measure. if there are a match that means a previous measure is below a threshold we update the histogram model and weigth else we update weigth only. fourth we order the weigth in decreasing manner. if the sum of first b weigth is less than a threshold, a pixel belong to the background else it belong to the foreground
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