In order to ensure that our tracking algorithm can real-time capture the fast-moving target and record its three-dimensional coordinates, the system uses a high-speed tracking algorithm based on Kernelized Correlation Filters (KCF). First, use KCF tracking algorithm to track the target. Second, use ORB feature point detection algorithm to calculate the target feature point. Then find out the corresponding point in Multi-Camera. After finding the corresponding points, use three-dimensional reconstruction theory of Multi-Camera to calculate the three-dimensional coordinates of the target object in each frame. Finally, using polynomial to fit the discrete points of each frame and then get the final trajectory. The experimental results show that this algorithm can track target efficiently and the whole system can meet actual requirements.