Abstract
In this paper, we propose a method to reduce computation time in Background Subtraction from Compressive Measurements (BSCM) which is one of the framework of background extraction method in fixed viewpoint video. The conventional BSCM method realized highly accurate background extraction using spatio-temporal correlation in movie tensor. However, the convergence to the optimal solution using the iterative calculation is slow and the total calculation time is long. In the proposed method, we reduce the calculation time while maintaining the reconstruction accuracy by making the update amount of the penalty parameter variable in optimization.
