Journal of Applied Optics, Volume. 44, Issue 4, 768(2023)

Re-detection method for long-term tracking based on improved two-stage detection networks

Nianfu ZHAO1...2, Lin WANG1,2, Xiangjun WANG1,2, and Wenliang CHEN12,* |Show fewer author(s)
Author Affiliations
  • 1State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
  • 2MOEMS Education Ministry Key Laboratory, Tianjin University, Tianjin 300072, China
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    Figures & Tables(9)
    Framework of algorithm
    Template region matching method of typical deep cross-correlation
    Network structure of enhancement-and-correlation stage
    Comparison of re-detection effects
    Dynamic interaction module used in proposed method
    Comparison of experimental results on LaSOT dataset
    Experimental results under subdivision scene of LaSOT dataset
    • Table 1. Experimental results on OxUva dataset

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      Table 1. Experimental results on OxUva dataset

      跟踪器MaxGMTPRTNR
      LTMU[14]0.7510.7490.754
      本文方法0.6230.6290.674
      SPLT[23]0.6220.4980.776
      GlobalTrack(原始方法)[13]0.6030.5740.633
      SiamFC+R[24]0.4540.4270.481
    • Table 2. Results of ablation experiments

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      Table 2. Results of ablation experiments

      优化方法精确率成功率帧率/(帧/s)
      原始方法0.5170.5286.0
      动态交互模块0.5260.53919.2
      动态交互模块+交叉增强模块0.5280.55816.8
      动态交互模块+模板信息引导0.5430.55118.9
      本文方法0.5450.56116.4
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    Nianfu ZHAO, Lin WANG, Xiangjun WANG, Wenliang CHEN. Re-detection method for long-term tracking based on improved two-stage detection networks[J]. Journal of Applied Optics, 2023, 44(4): 768

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    Paper Information

    Category: Research Articles

    Received: Aug. 1, 2022

    Accepted: --

    Published Online: Aug. 10, 2023

    The Author Email:

    DOI:10.5768/JAO202344.0402001

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