Opto-Electronic Engineering, Volume. 42, Issue 2, 66(2015)

Compressive Tracking Algorithm Based on SIFT

ZHONG Quan1...2,*, ZHOU Jin1, and CUI Xiongwen12 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(10)

    [1] [1] Donoho D. Compressed sensing [J]. IEEE Transactions on Information Theory(S0018-9448), 2006, 52(4): 1289-1306.

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    [3] [3] ZHANG Kaihua, ZHANG Lei, YANG Ming-Hsuan. Real-time compressive tracking [C]// ECCV, Florence, Italy, Oct 8-11, 2012, Part III, LNCS 7574: 866-879.

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    [6] [6] Babenko B, Yang M H, Belongie S. Robust object tracking with online multiple instances learning [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828), 2011, 33(8): 1619-1632.

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    [9] [9] Avidan S. Support vector tracking [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828), 2004, 26(8): 1064-1072.

    [12] [12] Fischler M, Bolles R. Random sample consensus: A paradigm for model fitting with application to image analysis and automated cartography [J]. Communications of the ACM(S0001-0782), 1981, 24(6): 381-395.

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    ZHONG Quan, ZHOU Jin, CUI Xiongwen. Compressive Tracking Algorithm Based on SIFT[J]. Opto-Electronic Engineering, 2015, 42(2): 66

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    Paper Information

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    Received: Mar. 17, 2014

    Accepted: --

    Published Online: Feb. 15, 2015

    The Author Email: Quan ZHONG (ioe_zhq@126.com)

    DOI:10.3969/j.issn.1003-501x.2015.02.011

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