• Infrared and Laser Engineering
  • Vol. 33, Issue 6, 611 (2004)
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    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Simple and workable moving objects segmentation algorithm[J]. Infrared and Laser Engineering, 2004, 33(6): 611 Copy Citation Text show less
    References

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    [2] Vincent A, Christian R, Fabrice H. Spatio-temporal Segmentation Using 3D Morphological Tools[A]. Pattern Recognition.15th International Conference[C]. 2000, 3. 877-880.

    [4] Changick Kim, Jenq-Neng Hwang. Fast and automatic video object segmentation and tracking for content-based applications[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2002, 12(2) : 122-129.

    [5] Tsaig Y, Averbuch A. A region-based MRF Model for Unsupervised Segmentation of Moving Objects in Image Sequences[A]. Proceedings of the 2001 IEEE Computer Society Confer ence on Computer Vision and Pattern Recognition[C]. 2001,1.889-896.

    [6] Taaig Y, Averbush A. Automatic segmentation of moving object in video sequences: a region labeling approach[J]. IEEE Transactions on Circuits and Systems For Video Technology,2002,12(7): 597-612.

    [7] Shao-Yi Chien, Shyh-Yih Ma, Liang-Gee Chen. Efficient moving object segmentation algorithm using background registration technique[J]. IEEE Transactions on Circuits and Systems for Video Technology,2002,12(7): 577-582.

    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Simple and workable moving objects segmentation algorithm[J]. Infrared and Laser Engineering, 2004, 33(6): 611
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