Kalman滤波在运动图像背景提取及更新中的应用

The application of kalman filter to both background subtraction and background updating of motional image

结合了运动图像处理的特点,选用了一种基于Kalman滤波理论的时域递归低通滤波来进行背景提取和背景更新。为了提高该算法的自适应性,采用了背景因子和运动因子的概念,并应用于隧道监控系统中,取得了较好的结果。

Based on the features of motional image processing, a method ot temporat recursive lowpassed filter based on Kalman filter theory was adopted to subtract and update the background. In order to improve the selfadaptability of the algorithm, we used both the background factor and motion factor and apply them to tunnel traffic video surveillance System. A satisfying performance is acquired from it.