Eight-Neighborhood Based Background Modeling
Lu Yan, Ming Dai, Lei Jiang · Advanced materials research · 2012
In order to solve the Gaussian kernel density-based background modeling, we propose a background modeling method based on an 8-neighborhood pixels sample set. In this method, we use the target pixel and its surrounding 8-neighborhood pixels to analyze whether it is included in the background or in the foreground sample space. Experimental results show that the method can judge the object as the background interference caused by the cyclical movement. By practical verification, the algorithm of the background modeling can full meet the requirements of the target detection algorithm.