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Laser & Optoelectronics Progress, Volume. 55, Issue 6, 061502(2018)

Updating Method of Improved Gradient Threshold in Object Tracking

Xiaohong Ma*
Author Affiliations
  • Electrical and Electronic Experiment Teaching Center, Shannxi University of Technology, Hanzhong, Shaanxi 723000, China
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    Figures & Tables(6)
    Comparison of CLE between KCF and the proposed algorithms based on four videos. (a) BlurBody; (b) couple; (c) deer; (d) soccer

    Fig. 1. Comparison of CLE between KCF and the proposed algorithms based on four videos. (a) BlurBody; (b) couple; (c) deer; (d) soccer

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    Comparison of APCE and its threshold, and APCE gradient and its threshold (take the couple video as an example). (a) APCE curve of the proposed algorithm; (b) DifAPCE curve of the proposed algorithm; (c) APCE curve of the proposed algorithm (without the judgment of gradient threshold); (d) two frame changes corresponding to the label ring 4 in Fig. 2(b)

    Fig. 2. Comparison of APCE and its threshold, and APCE gradient and its threshold (take the couple video as an example). (a) APCE curve of the proposed algorithm; (b) DifAPCE curve of the proposed algorithm; (c) APCE curve of the proposed algorithm (without the judgment of gradient threshold); (d) two frame changes corresponding to the label ring 4 in Fig. 2(b)

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    Comparison of tracking performance with and without gradient threshold judgment. (a) Without gradient threshold; (b) with gradient threshold

    Fig. 3. Comparison of tracking performance with and without gradient threshold judgment. (a) Without gradient threshold; (b) with gradient threshold

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    Qualitative tracking comparison of KCF (top) and proposed algorithms (bottom). (a) BlurBody; (b) couple; (c) soccer; (d) deer

    Fig. 4. Qualitative tracking comparison of KCF (top) and proposed algorithms (bottom). (a) BlurBody; (b) couple; (c) soccer; (d) deer

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    • Table 1. Comparison of accuracy and speed between KCF and the proposed algorithm (threshold value is 20 pixel)

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      Table 1. Comparison of accuracy and speed between KCF and the proposed algorithm (threshold value is 20 pixel)

      VideoKCFProposed algorithm
      DP /%Speed /(frame·s-1)DP /%Speed /(frame·s-1)
      Bird16.9176.316.9163.61
      Bird247.555.3649.555.27
      BlurBody58.451.4678.752.76
      Carscale80.6249.7980.6210.13
      Coke83.894.2084.983.85
      Couple25.7171.9763.6161.76
      Deer81.745.184.542.67
      Dragon Baby33.688.3032.191.50
      Dudek87.745.2787.744.59
      Ironman21.7110.6521.4106.71
      Jumping33.9242.9937.7215.77
      Lemming49.553.0749.552.36
      Liquor95.990.9695.285.49
      Matrix17.0152.4618.0133.38
      Motor Rolling4.370.954.968.42
      Soccer79.350.6086.550.25
      Surfer91.0391.0288.6347.65
      Tiger197.543.2397.539.84
      Tiger235.668.0235.967.76
      Vase79.3113.4084.1118.36
      Average value55.5118.2659.4109.53

    • Table 2. Comparison of tracking precision with and without gradient threshold judgment

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      Table 2. Comparison of tracking precision with and without gradient threshold judgment

      TrackerDP /%Speed /(frame·s-1)
      Without gradient threshold57.9166.01
      With gradient threshold63.6161.76
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    Xiaohong Ma. Updating Method of Improved Gradient Threshold in Object Tracking[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061502

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    Paper Information

    Category: Machine Vision

    Received: Nov. 22, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Xiaohong Ma (42600969@qq.com)

    DOI:10.3788/LOP55.061502

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology