利用openCV，首先得到图像中的强边界作为跟踪的特征点，调用函数，输入两幅连续的图像，并在第一幅图像里选择一组特征点，输出为这组点在下一幅图像中的位置。再把结果过滤，去掉不好的特征点。把特征点的跟踪路径标示出来。(Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as the feature point tracking, next to call calcOpticalFlow

通过orb角点检测和lk光流追踪法，对特征点进行追踪，并叠加物体(Through orb corner detection and LK optical flow tracking method, the feature points are tracked, and the objects are superimposed)