Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (14): 104-110.DOI: 10.3778/j.issn.1002-8331.2001-0269

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Sub-peak Suppression of Multi-feature Fusion in UAV Object Tracking

WU Guishan, LIN Shubin, YANG Wenyuan   

  1. 1.School of Computer Science, Minnan Normal University, Zhangzhou, Fujian 363000, China
    2.Fujian Key Laboratory of Granular Computing and Application, Minnan Normal University, Zhangzhou, Fujian 363000, China
  • Online:2020-07-15 Published:2020-07-14



  1. 1.闽南师范大学 计算机学院,福建 漳州 363000
    2.闽南师范大学 福建省粒计算及其应用重点实验室,福建 漳州 363000


UAV object tracking is a considerable issue of computer vision. The response after multi-feature fusion usually contains noise. To solve this problem, a sub-peak suppression UAV object tracking algorithm based on multi-feature fusion is proposed. Firstly, HOG features and two-dimension color names are extracted and a response by fusion is generated. Secondly, the sub-peak response is suppressed to remove the noise, the sub-peak is aggregated into a central main peak. Finally, the adaptive model updating strategy is recommended, the robustness of the algorithm is further enhanced. Experiments are carried out on UAV123 and VisDrone2019 datasets. The results show that the algorithm has better precision and robustness in the challenging scenarios such as fast motion and viewpoint change of UAV.

Key words: computer vision, object tracking, background-awareness, sub-peak suppression, handcrafted feature



关键词: 计算机视觉, 目标跟踪, 背景感知, 次峰抑制, 手工特征