• Laser & Optoelectronics Progress
  • Vol. 55, Issue 11, 111002 (2018)
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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    DOI: 10.3788/LOP55.111002 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    References

    [1] Qin J, Wang M H. Fast pedestrian proposal generation algorithm using online Gaussian model[J]. Acta Optica Sinica, 36, 1115001(2016).

    [2] Xu H W, Chen Q, Qian W X. Target detection algorithm based on improved single Gaussian background model[J]. Laser & Optoelectronics Progress, 53, 040401(2016).

    [3] Tian Y M, Wang D, Jia P P et al. Moving object detection with ViBe and texture feature. [C]∥Proceedings of Pacific Rim Conference on Multimedia, 150-159(2016).

    [4] Wang H, Song J X. Threshold based adaptive Vibe target detection algorithm[J]. Computer Science, 42, 154-157(2015).

    [5] Mo S W, Deng X P, Wang S et al. Moving object detection algorithm based on improved visual background extractor[J]. Acta Optica Sinica, 36, 0615001(2016).

    [6] Chen H Y, Qie L Z, Yang D D et al. Visual background extraction algorithm based on superpixel information feedback[J]. Acta Optica Sinica, 37, 0715001(2017).

    [7] Wu J S, Xu B. Vibe moving object detection method based on dynamic threshold[J]. Computer Engineering and Applications, 53, 182-186(2017).

    [8] Yang Y, Sun M W, Jin Y C. A vehicle detection method based on improved ViBe algorithm[J]. Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition), 26, 397-403(2014).

    [9] Zhao G M, Han G, Li X F et al. An improved Vibe method based on frame difference of fusion[J]. Computer Technology and Development, 25, 76-80(2015).

    [10] He B T, Yu S H. An improved background subtraction method based on ViBe. [C]∥Proceedings of Chinese Conference on Pattern Recognition, 356-368(2016).

    [11] Gao J, Zhu H H. Moving object detection for video surveillance based on improved ViBe. [C]∥Proceedings of Chinese Control and Decision Conference, 6259-6263(2016).

    [12] Min W D, Guo X G, Han Q. An improved ViBe algorithm and its application in traffic video processing[J]. Optics and Precision Engineering, 25, 806-811(2017).

    [13] Yu Y, Cao M W, Yue F. EVibe: an improved Vibe algorithm for detecting moving objects[J]. Chinese Journal of Scientific Instrument, 35, 924-931(2014).

    [14] Cheng K Y, Hui K F, Zhan Y Z et al. A novel improved ViBe algorithm to accelerate the ghost suppression. [C]∥Proceedings of 12 th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery , 1692-1698(2016).

    [15] Liu S Y. An improved ViBe moving object detection algorithm based on spatial-temporal gradient of image. [C]∥Proceedings of International Conference on Progress in Informatics and Computing, 192-197(2016).

    [16] Kim K, Chalidabhongse T H, Harwood D et al. Real-time foreground-background segmentation using codebook model[J]. Real-Time Imaging, 11, 172-185(2005). http://www.sciencedirect.com/science/article/pii/S1077201405000057

    [17] Liang Y L, Monteiro S T, Saber E S. Gaussian processes for object detection in high resolution remote sensing images. [C]∥IEEE International Conference on Machine Learning and Applications, 998-1003(2016).

    [18] Yang Y, Han D Q, Ding J K et al. An improved ViBe for video moving object detection based on evidential reasoning. [C]∥IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 26-31(2016).

    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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