• Journal of Infrared and Millimeter Waves
  • Vol. 24, Issue 3, 231 (2005)
[in Chinese]1 and [in Chinese]2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    [in Chinese], [in Chinese]. NOVEL INFRARED OBJECT TRACKING METHOD BASED ON MEAN SHIFT[J]. Journal of Infrared and Millimeter Waves, 2005, 24(3): 231 Copy Citation Text show less
    References

    [1] Fukanaga K, Hostetler L D. The estimation of the gradient of a density function, with application in pattern recognition[J]. IEEE Trans. Information Theory, 1975, 21 ( 1 ):32-40.

    [2] Yizong Cheng. Mean shift, mode seeking, and clustering[J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 1995, 17(8): 790-799.

    [3] Bradski G R. Real time face and object tracking as a component of a perceptual user interface [C]. Proc. IEEE Workshop on Applications of Computer Vision, 1998: 214-219.

    [4] Comaniciu D, Ramesh V, Meer P. Real-time tracking of non-rigid objects using mean shift [C]. Proc. IEEE Conference on Computer Vision and Pattern Recognition, 2000:142-149.

    [5] Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking [J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 2003, 25 (5): 564-577.

    [6] Andrew R Webb. Statistical Pattern Recognition, Second Edition [M]. Chichester: John Weily Son, 2002.

    CLP Journals

    [1] Luo Huan, Yu Lei, Liao Jun, Mu Zhonglin. Tracking Framework for Small Infrared Multi-Target in Complex Background[J]. Acta Optica Sinica, 2009, 29(6): 1536

    [2] GAO Guo-wang, LIU Shang-qian, QIN Han-lin, ZHANG Feng. Auto-tracking Algorithm of Infrared Target under Complex Background[J]. Opto-Electronic Engineering, 2010, 37(6): 78

    [in Chinese], [in Chinese]. NOVEL INFRARED OBJECT TRACKING METHOD BASED ON MEAN SHIFT[J]. Journal of Infrared and Millimeter Waves, 2005, 24(3): 231
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