随着视频监视系统智能化要求的提高，监控系统对运动目标的正确跟踪已成为本领域的一个研究热点。如何通过摄像头采集的2维视频画面，获得目标物的纵深运动状态，从而实现对摄像机焦距的控制是需要解决的问题。为此，提出了一种基于遗传算法搜索的运动目标跟踪方法，采用遗传算法，对运动目标的3维边缘特征模板进行最佳匹配，获得对目标位置以及大小的正确跟踪，以实现对摄像机焦距的控制，保证了被跟踪目标物能够在监控画面中大小相对稳定，提高了监控的质量。

With the increasing requirements of video monitoring system’s intelligence, tracking moving object has been a hotspot. It is a problem needs be to addressed that how to detect object’s depth moving state（the size of object) only with 2D video signal and control the camera’s zoom. This paper proposes a method of tracking moving object in 3D-space based on genetic searching algorithm. The object’s 3D contour feature can be searched and matched using genetic algorithm to detect the location and the size of a moving object. Then, the camera’s zoom can be controlled. This method can ensure a relatively stable size of the moving object in the video screen and improve the quality of the monitoring system.