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Laser & Optoelectronics Progress, Volume. 55, Issue 11, 111501(2018)

Improved Vibe Algorithm Integrated with Multiscale Transformation

Zhengchong Mao and Xuesong Shen*
Author Affiliations
  • Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (0)
    References (16)
    Cited By (5)
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    Figures & Tables(9)
    Vibe background model

    Fig. 1. Vibe background model

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    Ghost area. (a) Video frame; (b) test result

    Fig. 2. Ghost area. (a) Video frame; (b) test result

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    Dynamic background disturbance. (a) Video frame; (b) test result

    Fig. 3. Dynamic background disturbance. (a) Video frame; (b) test result

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    Gray value distributions at different resolutions. (a) 320 pixel×240 pixel; (b) 160 pixel×120 pixel; (c) 80 pixel×60 pixel

    Fig. 4. Gray value distributions at different resolutions. (a) 320 pixel×240 pixel; (b) 160 pixel×120 pixel; (c) 80 pixel×60 pixel

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    Comparison of ghost elimination for proposed algorithm and original Vibe algorithm. (a) 432nd frame; (b) result by Vibe algorithm; (c) result by proposed algorithm; (d) 536th frame; (e) result by Vibe algorithm; (f) result by proposed algorithm

    Fig. 5. Comparison of ghost elimination for proposed algorithm and original Vibe algorithm. (a) 432nd frame; (b) result by Vibe algorithm; (c) result by proposed algorithm; (d) 536th frame; (e) result by Vibe algorithm; (f) result by proposed algorithm

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    Detection results of overpass. (a) 2377th frame; (b) truth map; (c) Vibe algorithm; (d) GMM; (e) proposed algorithm

    Fig. 6. Detection results of overpass. (a) 2377th frame; (b) truth map; (c) Vibe algorithm; (d) GMM; (e) proposed algorithm

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    Detection results of canoe. (a) 961st frame; (b) truth map; (c) Vibe algorithm; (d) GMM; (e) proposed algorithm

    Fig. 7. Detection results of canoe. (a) 961st frame; (b) truth map; (c) Vibe algorithm; (d) GMM; (e) proposed algorithm

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    Comparison among ROC curves by algorithm; (a) Traffic sequence; (b) overpass sequence; (c) canoe sequence

    Fig. 8. Comparison among ROC curves by algorithm; (a) Traffic sequence; (b) overpass sequence; (c) canoe sequence

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    • Table 1. Comparison among precision rate, recall rate and time by different algorithms

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      Table 1. Comparison among precision rate, recall rate and time by different algorithms

      VideoGMMVibeProposed
      fPrecisionfRecallTime /msfPrecisionfRecallTime /msfPrecisionfRecallTime /ms
      Traffic0.720.9159.60.800.8820.10.880.9251.3
      Overpass0.600.77600.710.8023.80.840.9256.5
      Canoe0.580.4266.70.800.4827.60.910.8661.2
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    Zhengchong Mao, Xuesong Shen. Improved Vibe Algorithm Integrated with Multiscale Transformation[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111501

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    Paper Information

    Category: Machine Vision

    Received: Apr. 2, 2018

    Accepted: May. 28, 2018

    Published Online: Aug. 14, 2019

    The Author Email: Xuesong Shen (1282261896@qq.com)

    DOI:10.3788/LOP55.111501

    Topics

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