This article presents an intelligent surveillance system based on stereovision for dynamic tracking of moving objects with autofocus and lossless zoom capabilities. The core technology of the system combines a modified stereovision algorithm with an autofocus search method. First, in order to reduce the effect of changing the lens focal length, the modified stereovision algorithm provides an obvious advantage in accuracy of depth estimation. Then the estimated depth not only can be used for adjusting the appropriate zoom level of cameras but also for shortening the search range of focal points. Moreover, the autofocus search method can simplify the image sharpness curve to a single peak. Therefore, by using spline interpolation, the focus position can be efficiently and accurately estimated. Finally, experimental results show that the proposed scheme has the ability to improve the accuracy of depth estimation and provide more clear images of moving objects.

本文介绍了一种基于stereovision的智能监视系统，可通过自动聚焦和无损缩放功能动态跟踪运动对象。该系统的核心技术将改进的立体视觉算法与自动聚焦搜索方法结合在一起。首先，为了减小改变透镜焦距的影响，改进的立体视觉算法在深度估计的准确性上提供了明显的优势。然后，估计的深度不仅可以用于调整相机的适当缩放级别，而且可以用于缩短焦点的搜索范围。而且，自动聚焦搜索方法可以将图像清晰度曲线简化为单个峰值。因此，通过使用样条插值，可以有效且准确地估计焦点位置。最后，