• Electronics Optics & Control
  • Vol. 24, Issue 4, 43 (2017)
SHEN Ting-ting1, ZHONG Si-dong1、2, and YAN Wen-hao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2017.04.011 Cite this Article
    SHEN Ting-ting, ZHONG Si-dong, YAN Wen-hao. Moving Object Detection Based on Improved Edge Gaussian Mixture Models[J]. Electronics Optics & Control, 2017, 24(4): 43 Copy Citation Text show less
    References

    [3] HA J E, LEE W H. Foreground objects detection using multiple difference image[J]. Optical Engineering, 2010, 49(4): 047201-1-047201-10.

    [5] STAUFFER C, GRIMSON W E L. Adaption background mixture models for real-time tracking[C]//Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, Fort Collins: IEEE Press, 1999: 246-252.

    [8] LEE D S. Effective gaussian mixture learning for video background subtraction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(5): 827-832.

    SHEN Ting-ting, ZHONG Si-dong, YAN Wen-hao. Moving Object Detection Based on Improved Edge Gaussian Mixture Models[J]. Electronics Optics & Control, 2017, 24(4): 43
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