In order to improve basketball players’ability of tracking and identifying long-distance shooting trajectory , amethod of tracking and identifying basketball players’ long-distance shootimg trajectory based on ant colony algowithm isproposed.In this tracking method , we adopt dynamic sensing sensitive tracking elements to collect data of basketball play-ers' long-distance shooting trajectory and construct a characteristic analysis model of basketball players' long-distanceshooting trajectory data;classify and detect basketball players' long-distance shooting trajectory data by combining kine-matic parameter fusion and dynamic recognition methods to construct a kinematic mechanics coupling control model of bas-ketball players' long-distance shooting trajectory ; adopt the ant colony individual optimization tracking method to constructthe cluster parameter evolution distribution set of basketball players’ long-distance shooting trajectory data ; adopt thefusion method of dynamic sensing sensitive tracking elements to carry out the adaptive leaming of basketball players' long-distance shooting trajectory data sensing process; use cascade filtering and joint feature analysis methods to conduct thelong-distance shooting trajectory tracking and feature recognition of basketball players ; track and identify the information ofbasketball players’long -distance shooting trajectory though the results of ant oolony optimization algorithms. Thesimulation results show this method has high accuracy and slight deviations in tracking and identifying basketball players'long-distance shooting trajectory.