Background subtraction algorithm based on texture and two-dimensional threshold segmentation
Weiming Liu · Jisuanji gongcheng yu sheji · 2011
In order to detect effectively the movement vehicles of traffic scenarios,to built a group of adaptive texture histograms in sub-time blocks for each pixel during background modeling is presented,which can adapt to environment changes.And LBP is modified to represent texture better.Then in order to implement the background subtraction better,two-dimensional threshold segmentation is performed to eliminate the effect of noise,meanwhile frame-difference is used to exactly extract the movement vehicles,which can resolve the problem of background updating lag.Experimental results demonstrate the effectiveness of the proposed method under different traffic scenarios.