提出了基于活动轮廓的视觉伺服控制方法。将活动轮廓和光流模型相结合用于运动物体图像的实时跟踪 ,以抽取物体图像的边缘信息 ,并以此信息控制摄像机的运动 ,达到机器人定位、跟踪等目的。该方法跟踪精度高 ,鲁棒性好 ,且满足实时跟踪的要求。实验结果表明了该方法的正确性和有效性。 A visual servo control method based on active contour is proposed. The active contour and the optical flow model are combined for the real-time tracking of the moving object image to extract the edge information of the object image and use this information to control the movement of the camera so as to achieve the purpose of locating and tracking the robot. The method has high tracking accuracy and good robustness, and meets the requirements of real-time tracking. The experimental results show that the method is correct and effective.