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Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041502(2020)

Feature Fusion Video Target Tracking Method Based on Convolutional Neural Network

Meiju Liu1, Yongzhan Cao1、*, Shuyun Zhu2, and Shangkui Yang3
Author Affiliations
  • 1Information & Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, Liaoning 110168, China;
  • 2School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning 110168, China
  • 3School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 110168, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (6)
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    VGG16 network architecture

    Fig. 1. VGG16 network architecture

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    Precision plot

    Fig. 2. Precision plot

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    Success rate plot

    Fig. 3. Success rate plot

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    Comparison of center position error (pixel level) . (a) Car4; (b) David; (c) Dudek; (d) Singer1; (e) Soccer; (f) Sylvester

    Fig. 4. Comparison of center position error (pixel level) . (a) Car4; (b) David; (c) Dudek; (d) Singer1; (e) Soccer; (f) Sylvester

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    Comparison of overlap rate. (a) Car4; (b) David; (c) Dudek; (d) Singer1; (e) Soccer; (f) Sylvester

    Fig. 5. Comparison of overlap rate. (a) Car4; (b) David; (c) Dudek; (d) Singer1; (e) Soccer; (f) Sylvester

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    Comparison of tracking results of various algorithms

    Fig. 6. Comparison of tracking results of various algorithms

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    Meiju Liu, Yongzhan Cao, Shuyun Zhu, Shangkui Yang. Feature Fusion Video Target Tracking Method Based on Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041502

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    Paper Information

    Category: Machine Vision

    Received: May. 13, 2019

    Accepted: Jul. 16, 2019

    Published Online: Feb. 20, 2020

    The Author Email: Yongzhan Cao (1310380534@qq.com)

    DOI:10.3788/LOP57.041502

    Topics

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