Air refueling technology can effectively enhance the endurance of the aircraft. It is a multiplier of air power, and plays a vital role in improving the combat capability of manned aircraft and UAV. However, it is difficult and dangerous to do air refueling, as the relative position of the refueling cone sleeve cannot be accurately obtained in real time through the visual perception of the pilot. In this paper, the scale-adaptive cone-set target tracking algorithm is researched, the scale adaptive correlation tracking algorithm framework based on feature point detection is proposed by analyzing the problems of scale fixation and inability to judge tracking failure, and the feature point detection method based on convolution neural network is studied to realize the high precision, high robustness and high real-time of cone target tracking. The experiments show that the scale adaptive tracking algorithm based on feature point detection greatly improves the tracking accuracy compared with the traditional related tracking algorithm, and ensures the excellent real-time effect of related tracking.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Scale Adaptive Tracking Algorithm Based on Feature Point Fitting


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Deng, Yimin (editor) / Yang, Xizhong (author) / Zhang, Ling (author) / Sun, Yongrong (author)

    Conference:

    International Conference on Guidance, Navigation and Control ; 2024 ; Changsha, China August 09, 2024 - August 11, 2024



    Publication date :

    2025-03-04


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Fast Multi-Feature Pyramids for Scale-Adaptive Object Tracking

    Yang, Yuan / Ku, Tao / Zha, Yufei et al. | British Library Online Contents | 2016


    A Moving Object Detection Algorithm Based on Scale Invariant Feature Transform Feature Point

    Li, G. / Yang, G.-q. / Zhang, X.-k. et al. | British Library Online Contents | 2008




    Adaptive multi-scale tracking target algorithm through drone

    He, Q. (Qiusheng) / Shao, X. (Xiuyan) / Chen, W. (Wei) et al. | BASE | 2019

    Free access