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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    Title :

    Comparison of UAV Target Tracking Techniques


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wego (editor) / Li, Dajian (author) / Liu, Huixia (author) / Dong, Yangxia (author) / Xi, Qingbiao (author) / He, Ruofei (author)


    Publication date :

    2015-08-04


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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