为解决传统的运动图像镜头切变检测算法对背景噪声及镜头运动敏感的问题 ,通过分析镜头发生切变时图像中物体的运动规律 ,提出了一种基于光流方程的新的特征量——光流特征量。对运动图像序列中每一帧图像 ,计算其光流特征量 ,得到的特征量序列在镜头没有切变时保持短时平稳和较小取值 ,而在镜头发生切变时取值有显著增大。理论分析与实验结果证明 ,对该特征量运用加窗归一化的统计信号处理方法 ,可以有效地检测镜头切变 ,并且对摄像机摇动和变焦以及背景噪声不敏感 ,解决了传统检测方法因这些因素引起的误判问题 In order to solve the problem of the traditional moving image lens shear detection algorithm which is sensitive to the background noise and the lens movement, a new feature quantity based on the optical flow equation is proposed by analyzing the motion of objects in the image when the lens is cut. Optical flow characteristics. For each frame of the moving image sequence, the optical flow characteristics are calculated, and the feature sequence obtained is stable and small when the lens is not cut, but significantly increases when the lens is cut Big. Theoretical analysis and experimental results show that this method can be used to detect shots effectively with windowed normalized statistical signal processing method and is insensitive to camera shake and zoom as well as background noise. Misjudgment caused by factors