Optics and Precision Engineering, Volume. 32, Issue 23, 3490(2024)

Single target tracking in complex scenarios

Huilan LIN1, Chunlei ZHAO1、*, Zhicheng HAO1, Shi LIU1, Ming ZHU1, Xin JIANG1, Wen GAO2, and Junqiang ZHANG1
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun30000, China
  • 2BYD Auto Industry Company Limited, Shenzhen518000, China
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    Figures & Tables(13)
    Flow chart of improved Stable algorithm
    Targeted issues for different modules
    Success rate and precision curves of different algorithms on OTB64 dataset
    Curves of success rate and precision based on deformation attributes
    Curves of success rate and precision based on occlusion attributes
    Curves of success rate and precision based on out-of-view attributes
    Effectiveness comparison of different algorithms on Bird1 video sequence
    Effectiveness comparison of different algorithms on Girl2 video sequence
    Effectiveness comparison of different algorithms on Tiger2 video sequence
    • Table 1. Experimental parameters

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      Table 1. Experimental parameters

      参 数数值
      二维高斯函数标准差因子αw,αh2.8,2.8
      有无相似目标干扰阈值β0.7
      相似目标再识别区域缩放因子η0.8
      丢失判定的权重系数μ1μ2μ30.28,0.37,0.18
      模板更新阈值φ1,φ20.88,0.7
    • Table 2. Tracking results of different algorithms on OTB64 dataset

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      Table 2. Tracking results of different algorithms on OTB64 dataset

      算 法整体形变遮挡出视野
      RSPRSPRSPRSP
      Our work66.473.068.876.464.468.663.868.0
      SiamFC65.470.363.169.068.372.263.067.3
      CFNet64.369.965.571.464.569.351.160.4
      STAPLE64.674.365.574.662.470.354.866.8
      SAMF60.270.361.170.461.570.450.358.4
      MEEM58.274.554.573.059.776.260.273.9
      KCF50.862.749.561.148.960.045.749.9
      DSST47.161.045.256.844.158.241.548.0
      ASLA43.547.243.146.643.046.137.240.9
      Struck43.052.340.551.642.052.048.455.9
      TLD40.948.838.646.643.350.641.950.1
      CSK35.944.835.845.732.940.027.427.6
    • Table 3. Tracking results of different algorithms on VOT16 dataset

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      Table 3. Tracking results of different algorithms on VOT16 dataset

      算 法整体遮挡
      Our work0.409 30.254 1
      Staple0.387 10.234 5
      DAT0.309 10.208 3
      DSST0.325 40.229 9
      KCF0.303 20.229 5
      SAMF0.349 60.268 8
      SiamRN0.422 30.261 5
    • Table 4. Ablation results of different modules on OTB64 dataset

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      Table 4. Ablation results of different modules on OTB64 dataset

      基础算法背景权重直方图特征自适应融合相似目标再识别丢失判定机制模板更新策略整体形变遮挡出视野
      RSPRSPRSPRSP
      64.674.365.574.662.470.354.866.8
      65.873.266.774.863.768.460.666.6
      65.674.165.374.663.169.861.169.0
      65.973.065.874.962.367.960.368.7
      66.172.966.874.563.168.360.967.3
      66.473.068.876.464.468.663.868.0
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    Huilan LIN, Chunlei ZHAO, Zhicheng HAO, Shi LIU, Ming ZHU, Xin JIANG, Wen GAO, Junqiang ZHANG. Single target tracking in complex scenarios[J]. Optics and Precision Engineering, 2024, 32(23): 3490

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    Paper Information

    Category:

    Received: May. 24, 2024

    Accepted: --

    Published Online: Mar. 10, 2025

    The Author Email: Chunlei ZHAO (zhaochunlei@ciomp.ac.cn)

    DOI:10.37188/OPE.20243223.3490

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