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.
Comparison of UAV Target Tracking Techniques
Lect. Notes Electrical Eng.
Proceedings of the Second International Conference on Mechatronics and Automatic Control ; Chapter : 66 ; 607-614
2015-08-04
8 pages
Article/Chapter (Book)
Electronic Resource
English
Comparison of UAV Target Tracking Techniques
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