Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1410011(2021)

Moving Object Detection in Static Scene Based on Improved ViBe Algorithm

Min’an Tang and Chenyu Wang*
Author Affiliations
  • School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730000, China
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    References(22)

    [12] Li S C, Che G L, Zhang G et al. Adaptive moving target detection algorithm and its application[J]. Journal of Chinese Computer Systems, 42, 381-386(2021).

    [14] Fute E T, Deffo L L S, Tonye E et al. EFF-ViBE: an efficient and improved background subtraction approach based on ViBE[J]. International Journal of Image, Graphics and Signal Processing, 11, 1-14(2019).

    [15] Ji J, Han L, Wei J et al. Histogram-based perceptual hash algorithm for synthetic aperture radar image segmentation[J]. Journal of Electronic Imaging, 27, 033044(2018).

    [21] Zou Y, Wang D H, Liu L A. Research on human movement target recognition algorithm in complex traffic environment[J]. International Journal of Pattern Recognition and Artificial Intelligence, 34, 2050012(2020).

    [22] Wang W, Wang X P, Liang J C. An improved ViBe algorithm based on adaptive detection of moving targets[J]. Journal of Measurement Science and Instrumentation, 11, 126-134(2020).

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    Min’an Tang, Chenyu Wang. Moving Object Detection in Static Scene Based on Improved ViBe Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410011

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    Paper Information

    Category: Image Processing

    Received: Sep. 25, 2020

    Accepted: Nov. 12, 2020

    Published Online: Jul. 6, 2021

    The Author Email: Chenyu Wang (794730778@qq.com)

    DOI:10.3788/LOP202158.1410011

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