• Laser & Optoelectronics Progress
  • Vol. 59, Issue 2, 0210007 (2022)
Jiajun Liu and Haokun Lin*
Author Affiliations
  • School of Electrical Engineering, Xi'an University of Technology, Xi'an , Shaanxi 710048, China
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    DOI: 10.3788/LOP202259.0210007 Cite this Article Set citation alerts
    Jiajun Liu, Haokun Lin. Adaptive Threshold Moving Target Detection Algorithm Based on ViBe Method[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0210007 Copy Citation Text show less
    2D Euclidean space with R radius
    Fig. 1. 2D Euclidean space with R radius
    Flow chart of background update
    Fig. 2. Flow chart of background update
    Initialized background images by different methods. (a) ViBe algorithm; (b) algorithm in Ref.[17]; (c) algorithm in Ref.[19]; (d) our algorithm
    Fig. 3. Initialized background images by different methods. (a) ViBe algorithm; (b) algorithm in Ref.[17]; (c) algorithm in Ref.[19]; (d) our algorithm
    Comparison of anti-ghosting effect of four algorithms. (a) Original video sequence; (b) ViBe algorithm; (c) algorithm in Ref.[17]; (d) algorithm in Ref.[19]; (e) our algorithm
    Fig. 4. Comparison of anti-ghosting effect of four algorithms. (a) Original video sequence; (b) ViBe algorithm; (c) algorithm in Ref.[17]; (d) algorithm in Ref.[19]; (e) our algorithm
    Robustness comparison of five algorithms. (a) Input image; (b) GMM; (c) CodeBook; (d) GMG; (e) ViBe algorithm; (f) our algorithm
    Fig. 5. Robustness comparison of five algorithms. (a) Input image; (b) GMM; (c) CodeBook; (d) GMG; (e) ViBe algorithm; (f) our algorithm
    Pixelv1v2v3v4v5v6v7v8v9v10v11v12
    Color similarity function0.670.530.420.630.410.560.790.80.60.520.570.41
    Distance0.110.240.290.40.380.390.300.30.250.30.380.28
    Pixelv13v14v15v16v17v18v19v20v21v22v23v24

    Color

    similarity function

    0.10.440.70.850.420.910.920.650.310.420.910.74
    Distance0.390.290.690.40.270.240.80.390.550.890.660.92
    Table 1. Dimensionless data
    ForegroundForeground(1)by frame differenceBackground(0)by frame difference
    Foreground(1)by ViBe1/1301/4
    Fackground(0)by ViBe1/161
    Table 2. Updating probability
    AlgorithmReSpFPRFNRPrePWCTime /ms
    ViBe algorithm0.69210.98210.01710.31680.73564.125022.5
    Algorithm in Ref.[170.78350.98380.01250.21610.81553.320524.3
    Algorithm in Ref.[190.76980.98600.01430.25040.83782.951250.7
    Our algorithm0.77990.99850.00250.23080.89422.130530.4
    Table 3. Performance indicators of algorithms
    AlgorithmReSpFPRFNRPrePWCTime /ms
    GMM0.68950.91880.01150.59890.70893.719055.7
    CodeBook0.74860.68320.14660.32410.62035.324568.1
    GMG0.45210.56470.09530.44870.54735.691350.3
    ViBe0.70890.76710.01850.13950.70203.167024.6
    Our algorithm0.73660.96740.01210.17110.82562.665629.3
    Table 4. Performance indicators of algorithms
    Jiajun Liu, Haokun Lin. Adaptive Threshold Moving Target Detection Algorithm Based on ViBe Method[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0210007
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