“…Background subtraction (BS) is one of the most widely used techniques in change detection, and its performance depends mainly on the background modeling methods. To date, the popular background modeling methods can be classified into the following four categories: GMM-based [ 6 , 7 , 8 , 9 ], sample-based [ 10 , 11 , 12 , 13 ], clustering-based [ 14 , 15 , 16 , 17 ], and artificial neural network-based [ 18 , 19 , 20 , 21 , 22 ]. Each model has its own advantages and disadvantages.…”