基于光流的运动分析理论及应用

Theories and Applications of Motion Analysis Based on Optical Flow

运动目标的检测是计算机视觉领域中最活跃的研究主题之一,运动目标的正确检测与分割影响着运动目标能否正确跟踪和分类;光流法是运动图像分析的重要方法,它能够检测出独立运动的对象,不需要预先知道场景的任何信息,并且可用于摄像机运动的情况;文中首先引入光流的基本概念,然后介绍基于光流方程的两种常用的图像分析方法——梯度法、块匹配法;接着结合光流法在红外图像序列的运动目标检测、活动轮廓模型以及医学图像处理方面的应用,对这两种光流法的优缺点进行分析;最后对光流法在未来其他领域如电子制造业和芯片检测行业的应用提出展望。

Moving object detection is currently one of the most active research topics in the domain of computer vision. Optical flow method is an important method of motion image analysis. Some basic conception of optical flow are introduced; secondly, some image analysis methods based on optical flow equation are introduced. Then their features and drawbacks and range of using are analyzed and compared by using several practical examples. In the end, prospect of applications of optical flow is discussed.