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Laser & Optoelectronics Progress, Volume. 60, Issue 12, 1210007(2023)

Thermal Infrared Object Tracking Method Based on Positional Perception

Jing Yang and Long Ma*
Author Affiliations
  • School of Ordnance Science and Technology, Xi'an Technological University, Xi'an 710021, Shaanxi, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
    Equations (6)
    References (24)
    Cited By (1)
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    Figures & Tables(11)
    Structure of the proposed network

    Fig. 1. Structure of the proposed network

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    Schematic of dilated convolution

    Fig. 2. Schematic of dilated convolution

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    Structure of positional perception module

    Fig. 3. Structure of positional perception module

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    Thermal infrared object visualization

    Fig. 4. Thermal infrared object visualization

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    Structure of channel attention module

    Fig. 5. Structure of channel attention module

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    RPN module

    Fig. 6. RPN module

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    Class activated thermal maps. (a) Without attention module; (b) with attention module

    Fig. 7. Class activated thermal maps. (a) Without attention module; (b) with attention module

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    Some tracking results

    Fig. 8. Some tracking results

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    Evaluation results. (a) Precision; (b) success rate

    Fig. 9. Evaluation results. (a) Precision; (b) success rate

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    • Table 1. Evaluation sequence

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      Table 1. Evaluation sequence

      SequenceTotal framesChallenge
      aftertree313MC，OCC，SV，AI
      green491MC，SV，CM
      redcar218MC，SV
      woman89434CM，IV，OCC，AI，MC

    • Table 2. Comparison of experimental results of 6 trackers on VOT-TIR2019 and GTOT datasets

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      Table 2. Comparison of experimental results of 6 trackers on VOT-TIR2019 and GTOT datasets

      MethodVOT-TIR2019GTOTSpeed /（frame·s-1）
      AUCPrecisionAUCPrecision
      Proposed method0.5380.7530.6450.91430
      C-COT0.5460.7180.5990.8710.3
      ECO0.5350.7000.6000.8386
      SiamRPN0.4990.6720.6150.899160
      SiamFC0.4260.5940.5340.83958
      DSST0.3910.5330.3590.52424
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    Jing Yang, Long Ma. Thermal Infrared Object Tracking Method Based on Positional Perception[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210007

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    Paper Information

    Category: Image Processing

    Received: Mar. 8, 2022

    Accepted: Jun. 13, 2022

    Published Online: May. 23, 2023

    The Author Email: Ma Long (malong@xatu.edu.cn)

    DOI:10.3788/LOP220929

    Topics

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