关键词: 自适应背景更新, 最小均方误差, 车辆检测

Abstract: Point to the problem that the automatic background updating can not be well realized when using traditional background subtraction method，a new fast adaptive background subtraction method is presented in this paper，which takes advantage of Minimum Mean Square Error（MMSE） theory to make estimation，then using corresponding algorithm to realize background updating under the cases that background is taking slowly changes or sudden changes.Testing results demonstrate that when the method is applied，the self-adaptive updating of background can be realized with a high accuracy，meanwhile it is simple to implement and suitable for real-time detection.

Key words: self-adaptive background updating, Minimum Mean Square Error（MMSE）, vehicle detection