Laser & Optoelectronics Progress, Volume. 56, Issue 13, 131002(2019)

Moving Object Detection Algorithm Based on Removed Ghost and Shadow Visual Background Extractor

Lan Fang* and Fengqin Yu
Author Affiliations
  • School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    Figures & Tables(7)
    Schematic of pixel classification of Vibe background model
    Flow chart of improved Vibe algorithm
    Simulation results of highwayII. (a) First frame original image; (b) 6th frame original image; (c) 6th frame foreground detection result of Vibe algorithm; (d) foreground histogram of ghost; (e) background histogram of neighboring; (f) foreground histogram of moving object; (g) background histogram of neighboring; (h) 6th frame result of improved Vibe algorithm
    Comparison of simulation results of CDnet-2012 highway. (a) Original video images; (b) results of Vibe algorithm detection; (c) results of PBAS algorithm detection; (d) results of SBBS algorithm detection; (e) results of proposed algorithm detection
    Simulation results of CDnet-2012 shadow. (a) Original video images; (b) ground truth images; (c) images of foreground extraction; (d) images of shadow removal
    • Table 1. Comparison of shadow removal performance of four algorithms in CDnet-2012 shadow categories

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      Table 1. Comparison of shadow removal performance of four algorithms in CDnet-2012 shadow categories

      MethodProposedMethod in Ref. [8]Method in Ref. [13]Method in Ref. [15]
      FPR-S in backdoor0.37520.58840.12740.5789
      FPR-S in bungalows0.40190.65230.12930.5747
      FPR-S in bus station0.41230.66080.13610.5996
      FPR-S in copy machine0.35110.57180.11250.4363
      FPR-S in cubicle0.34160.57890.10020.4179
      FPR-S in people in shade0.43630.63600.13130.5552
      FPR-S in overall0.38640.61480.12280.5271
      Time /(s·frame-1)0.066270.007380.013120.04878
    • Table 2. Comparison of overall performance of algorithms

      View table

      Table 2. Comparison of overall performance of algorithms

      MethodVibe[2]PBAS[12]SBBS[13]Proposed
      Re0.68210.78400.75060.7699
      Sp0.98300.98980.98590.9981
      FPR0.01700.01020.01410.0019
      FNR0.31790.21600.24940.2301
      PWC3.11781.76932.12761.6997
      Pr0.73570.81600.83780.8941
      F-Measure0.66830.75320.76780.7588
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    Lan Fang, Fengqin Yu. Moving Object Detection Algorithm Based on Removed Ghost and Shadow Visual Background Extractor[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131002

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    Paper Information

    Category: Image Processing

    Received: Nov. 14, 2018

    Accepted: Jan. 24, 2019

    Published Online: Jul. 11, 2019

    The Author Email: Fang Lan (yufq@jiangnan.edu.cn)

    DOI:10.3788/LOP56.131002

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