Badminton Trajectory Tracking Based on D-H Kinematics Model

Abstract

In order to realize accurate tracking and recognition of badminton movement track, a badminton movement track tracking model based on D-H kinematics model is proposed. Badminton trajectory detection is carried out by adopting video sensors and image vision imagers, an array distribution model of badminton trajectory tracking is established by combining D-H kinematics parameter fusion method, key feature quantities of badminton trajectory are extracted by badminton motion feature distributed detection method, and a badminton trajectory kinematics D-H kinematics data feature decomposition model is established according to high-dimensional matrix feature decomposition method. The badminton motion trajectory sensing information is fused in the neighboring points, and the badminton motion trajectory estimation model is established by combining feature reconstruction matching and fuzzy information weighted analysis methods. The badminton motion trajectory recognition is carried out on the sampled D-H kinematics big data, and the badminton motion trajectory sampling points are inserted. By identifying the key feature points of the badminton motion trajectory, the badminton motion trajectory tracking model is constructed. The simulation results show that the feature recognition ability of badminton trajectory tracking model constructed by this method is better, and the badminton trajectory tracking recognition ability is stronger, which improves the badminton trajectory estimation.