Improved Single Target Tracking Learning Detection Algorithm

In order to improve the robustness and the speed of single target tracking, this paper proposes an improved Tracking Learning Detection method. By modifying the tracking module in the traditional TLD algorithm, introducing the ORB feature points with fast matching speed and retaining the original uniform distribution points, the execution speed and robustness of the algorithm can be improved. The experiment shows that the improved TLD algorithm has strong robustness in different experimental environments and can quickly and accurately track the single object. The algorithm proposed in this paper effectively overcomes the tracking failures caused by the moving target`s partial occlusion, rapid movement and departure from the tracking field of vision. It has better robustness, accuracy and faster execution speed than traditional TLD algorithm.