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Laser & Optoelectronics Progress, Volume. 57, Issue 16, 161013(2020)

Video Foreground Target Extraction Algorithm in Complex Background

Lifeng He1,2, Yanling Liu1、*, Yan Zhong1, and Bin Yao1
Author Affiliations
  • 1College of Electrical Information and Artificial Intelligence, Shaanxi University of Science & Technology, Xi'an, Shaanxi 710021, China;
  • 2Faculty of Information Science and Technology, Aichi Prefectural University, Nagakute, Aichi 480- 1198, Japan
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    AbstractGet PDF(in Chinese)
    Figures&Tables (7)
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    References (10)
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    Figures & Tables(7)
    Model of pixel classification model

    Fig. 1. Model of pixel classification model

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    Detection results of ViBe algorithm. (a) People; (b) vehicles

    Fig. 2. Detection results of ViBe algorithm. (a) People; (b) vehicles

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    Changing trend of different types of pixels. (a) Static background pixel; (b) foreground target pixel (c) dynamic background pixel

    Fig. 3. Changing trend of different types of pixels. (a) Static background pixel; (b) foreground target pixel (c) dynamic background pixel

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    Office video results obtained by different algorithms. (a) Original image; (b) GMM algorithm; (c) ViBe algorithm; (d) algorithm of Ref.[7]; (e) algorithm of Ref.[8]; (f) our algorithm

    Fig. 4. Office video results obtained by different algorithms. (a) Original image; (b) GMM algorithm; (c) ViBe algorithm; (d) algorithm of Ref.[7]; (e) algorithm of Ref.[8]; (f) our algorithm

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    RiverSide video results obtained by different algorithms. (a) Original image; (b) GMM algorithm; (c) ViBe algorithm; (d) algorithm of Ref.[7]; (e) algorithm of Ref.[8]; (f) our algorithm

    Fig. 5. RiverSide video results obtained by different algorithms. (a) Original image; (b) GMM algorithm; (c) ViBe algorithm; (d) algorithm of Ref.[7]; (e) algorithm of Ref.[8]; (f) our algorithm

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    Fall video results obtained by different algorithms. (a) Original image; (b) GMM algorithm; (c) ViBe algorithm; (d) algorithm of Ref.[7]; (e) algorithm of Ref.[8]; (f) our algorithm

    Fig. 6. Fall video results obtained by different algorithms. (a) Original image; (b) GMM algorithm; (c) ViBe algorithm; (d) algorithm of Ref.[7]; (e) algorithm of Ref.[8]; (f) our algorithm

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    • Table 1. Performance comparison of different algorithms

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      Table 1. Performance comparison of different algorithms

      AlgorithmGMMViBeRef. [7]Ref. [8]Ours
      Precision0.72310.76250.82650.86420.8736
      Recall0.62670.67320.70360.73150.7465
      FNR0.38260.32460.21980.19880.1834
      PWC3.64323.33652.66321.90361.8963
      FM0.63120.65360.75760.77490.7942
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    Lifeng He, Yanling Liu, Yan Zhong, Bin Yao. Video Foreground Target Extraction Algorithm in Complex Background[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161013

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    Paper Information

    Category: Image Processing

    Received: Dec. 12, 2019

    Accepted: Jan. 14, 2020

    Published Online: Aug. 5, 2020

    The Author Email: Yanling Liu (774362490@qq.com)

    DOI:10.3788/LOP57.161013

    Topics

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