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本文通过将图像相关算法和卡尔曼滤波器之间的信息进行融合，得到一种新的目标图像跟踪算法，并对该算法的估值性能进行了深入分析。理论计算和仿真结果表明，该算法较常规相关算法具有更好的鲁棒性和跟踪性能。
In this paper, a new target image tracking algorithm is obtained through the fusion of the image correlation algorithm and the Kalman filter, and the performance of the algorithm is further analyzed. Theoretical calculations and simulation results show that the proposed algorithm has better robustness and tracking performance than the conventional algorithms.