Laser & Optoelectronics Progress, Volume. 55, Issue 11, 111002(2018)

Moving Target Detection Based on Improved YUV_Vibe Fusion Algorithm

Shenru Xie1, Shengbo Ye1, Baohua Yang1,2、*, Xuemei Wang1, and Hongxia He1
Author Affiliations
  • 1 School of Information and Computer, Anhui Agriculture University, Hefei, Anhui 230036, China
  • 2 Key Laboratory of Technology Integration and Application in Agricultural Internet of Things,Ministry of Agriculture, Hefei, Anhui 230036, China
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    Figures & Tables(8)
    Schematic of neighborhood extraction
    Background model of Vibe
    Flow chart of the algorithm
    Foreground detection. (a) Detection result of model 1; (b) detection area of model 2
    Outdoor target detection effects of all algorithms. (a)(f) Original image sequences; (b)(g) results of frame difference method; (c)(h) results of Gaussian mixture model method; (d)(i) results of Vibe method; (e)(j) results of improved method
    Comparison of the shadow experimental results. (a) Original image sequence; (b) Vibe method; (c) improved method
    Comparison of the ghost experimental results. (a) Original image of 427th frame; (d) original image of 525th frame; (b)(e) results of Vibe method; (c)(f) results of improved method
    • Table 1. Appraisal result of all algorithms

      View table

      Table 1. Appraisal result of all algorithms

      MethodPFPRFrame /s
      Vibe0.73470.031236
      YUV_Vibe0.83180.021828
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    Shenru Xie, Shengbo Ye, Baohua Yang, Xuemei Wang, Hongxia He. Moving Target Detection Based on Improved YUV_Vibe Fusion Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111002

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    Paper Information

    Category: Image Processing

    Received: Mar. 26, 2018

    Accepted: May. 25, 2018

    Published Online: Aug. 14, 2019

    The Author Email: Baohua Yang (524115963@qq.com)

    DOI:10.3788/LOP55.111002

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