Abstract:Mainly based on the image sequence, this study reconstructs the movement track of table tennis, and analyzes the movement form of table tennis. Firstly, the collected image is stereo corrected, and the center coordinates of the table tennis in the sequence image are extracted by color recognition and improved Hough circle detection algorithm; then, the feature points are matched on the time series according to the difference of the feature point coordinates of the front and back frame images; finally, the matching feature points are 3D reconstructed by triangulation, and the speed and acceleration of the table tennis at different times are calculated, the 3D motion reconstruction of dynamic object is realized. The experimental results show that the 3D motion reconstruction method improves the accuracy of feature extraction, effectively realizes the matching on time series, and obtains the 3D motion data of the object.