A Background Reconstruction Algorithm Based on Two-Threshold Sequential Clustering

Abstract

A new background subtraction algorithm based on two thresholds sequential clustering is proposed in this paper. First, pixel intensity in period of time is classified based on two thresholds sequential clustering. Second, merging procedure is run to classified classes. Finally, the backgrounds of scene are selected, so the background model can represent the scene well. The simulation results show that the proposed algorithm is robust to the thresholds, those near classes are avoided at all, and the effect of input order of data has been reduced greatly. And the background model can represent the scene well.