Laser & Optoelectronics Progress, Volume. 57, Issue 2, 21510(2020)

Online Adaptive Siamese Network Tracking Algorithm Based on Attention Mechanism

Dong Jifu1, Liu Chang1、*, Cao Fangwei1, Ling Yuan2, and Gao Xiang1
Author Affiliations
  • 1College of Information Sciences and Technology, Dalian Maritime University, Dalian, Liaoning 116026, China
  • 2Hualu Zhida Technology Co., Ltd., Dalian, Liaoning 116023, China
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    Figures & Tables(12)
    Framework of online adaptive siamese network based on attention mechanism
    Cropped (t-1)th frame
    Spatial attention module
    Channel attention module
    Plots of accuracy and average success rate on OTB50 dataset. (a) Plot of accuracy; (b) plot of average success rate
    Plots of accuracy and average success rate on OTB100 dataset. (a) Plot of accuracy; (b) plot of average success rate
    Average success rates of similar background attributes on OTB100 dataset
    Average success rates of deformation properties on OTB100 dataset
    Expected average overlap rates on VOT2016 dataset
    Qualitative evaluation of different algorithms on seven challenging video sequences
    • Table 1. Parameters of SiamFC network

      View table

      Table 1. Parameters of SiamFC network

      TypeSize /StrideNumber of filtersSize of exemplarSearch size
      Conv111×11/29659×59123×123
      Pool13×3/229×2961×61
      Conv25×525625×2557×57
      Pool23×3/212×1228×28
      Conv33×338410×1026×26
      Conv43×33848×824×24
      Conv53×32566×622×22
    • Table 2. Evaluation of accuracy and robustness on VOT2016 dataset

      View table

      Table 2. Evaluation of accuracy and robustness on VOT2016 dataset

      TrackerEAOAccuracyRobustness
      AAM-Siam0.320.560.32
      Staple0.300.540.38
      DeepSRDCF0.280.520.33
      SiamFC0.280.550.38
      KCF0.190.490.57
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    Dong Jifu, Liu Chang, Cao Fangwei, Ling Yuan, Gao Xiang. Online Adaptive Siamese Network Tracking Algorithm Based on Attention Mechanism[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21510

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    Paper Information

    Category: Machine Vision

    Received: May. 20, 2019

    Accepted: --

    Published Online: Jan. 3, 2020

    The Author Email: Liu Chang (liuchang@dlmu.edu.cn)

    DOI:10.3788/LOP57.021510

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