Aiming at the problem of fast motion and motion blur in UAV target tracking process, an adaptive spatiotemporal regularization correlation filtering target tracking algorithm is proposed. Firstly, in order to meet the real-time requirements of UAV target tracking, a fast correlation filtering target tracking algorithm framework is adopted. Secondly, based on the correlation filtering target tracking algorithm, a temporal regularization and spatial regularization method is proposed to deal with the problem of fast-moving target and solve the boundary effect problem of correlation filtering. Then, the optimal solution of the constructed ridge regression function is obtained. In order to solve the problem quickly, the alternating direction multiplier (ADMM) iterative method is come up and used as the solution for the optimal correlation filter template to ensure the target tracking in the subsequent frames. Finally, the fast motion challenge of target is tested on three different datasets: OTB100, UAV123 and DTB70. The experimental results show that the algorithm proposed in this paper can better deal with the boundary effect caused by the rapid movement of the target compared with other relevant filtering algorithms.


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    Title :

    UAV Target Tracking Based on Adaptive Spatio-Temporal Regularization


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Meng, Lingbo (author) / Wu, Dongjian (author) / Zhang, Boheng (author) / Sun, Mingjian (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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