Background Modeling Based on Statistical Clustering Partitioning

Algorithm 1

Statistical clustering partitioning low-rank background modeling algorithm.

(1)	Input: Original video frame images . The criterion of convergence was F, where [17].
(2)	//I are clustered and segmented to get the statistical region image matrices F.
	while not converged do
	compute
	end while
(3)	//Minimize the Lagrange function in equation (14)
	while not converged do
	compute ;
	compute ;
	compute ;
	end while
(4)	are superimposed to reconstruct L.
(5)	Let , the sparse images S are obtained.
(6)	Output S, L