This paper proposes a new algorithm, namely the Kalman MeanShift 3D residual judgment tracking algorithm based on three-dimensional space, to solve the problems of poor tracking effect of fast-moving objects by Mean Shift, unsatisfactory selection of the starting position of the target in each frame, and large-scale occlusion. Experimental results show that the algorithm can track fast-moving targets and solve the problem of large-scale occlusion of moving objects in the scene.
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