Abstract
Research on the unmanned aerial vehicle (UAV) target tracking system and the development of the UAV target tracking methods are discussed. A mean shift-auxiliary particle filter (M-APF) algorithm is proposed. It adopts APF as its main framework of the tracking algorithm; then, the mean shift is applied to calculate the offset of a few auxiliary particles and move them to the local optimum position of the observed values. Simulation results show that the calculation cost and robustness of M-APF are superior to mean shift algorithm and APF algorithm and satisfy the UAV target tracking requirements.
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