Real-time track of basketball jump shot trajectory based on artificial fish swarm algorithm
Since the tracking error is high caused by poor tracking feature lifting effect of the basketball,a real-time tracking method of basketball jump shot trajectory based on artificial fish swarm algorithm is pro-posed.The basketball edge contour information is extracted from the image under the three-dimensional co-ordinate system,and the noise of the basketball jump shot image is eliminated through the filter function.Then,the characteristics of the basketball long-distance jump shot trajectory in the image is extract based on the artificial fish swarm algorithm to find the optimal solution set of the basketball motion trajectory and improve the real-time basketball tracking matching path.Finally,the trajectory tracking function is formed.The experiment results show that the average trajectory tracking error of this method is 18.28 mm,which is reduced by more than 6.22 mm compared with the conventional method.Therefore,the basketball trajecto-ry tracking accuracy of this tracking method is higher,and the real-time tracking trajectory is more consist-ent with the real trajectory.
artificial fish swarm algorithmbasketball jump shotfilter functiontrajectory of motionreal time tracking
万方数据
维普
