• Opto-Electronic Engineering
  • Vol. 42, Issue 2, 52 (2015)
[in Chinese]*, [in Chinese], and [in Chinese]
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3969/j.issn.1003-501x.2015.02.009 Cite this Article
    [in Chinese], [in Chinese], [in Chinese]. A Real-time Object Tracking Algorithm Based on Subspace Learning[J]. Opto-Electronic Engineering, 2015, 42(2): 52 Copy Citation Text show less
    References

    [1] XUE Mei, LING Haibin. Robust visual tracking using L1 minimization [C]// 2009 IEEE 12th International Conference on Computer Vision, Kyoto, Japan, Sept 27 - Oct 4, 2009: 1436–1443.

    [2] Adam A, Rivlin E, Shimshoni I. Robust fragments-based tracking using the integral histogram [C]// 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Taipei, Jun 17-22, 2006, 1: 798–805.

    [3] Grabner H, Leistner C, Bischof H. Semi-supervised On-Line Boosting for Robust Tracking [C]// 2008 European Conference on Computer Vision, Marseille, France, Oct 12-18, 2008, 5302: 234–247.

    [4] Kalal Z, Mikolajczyk K, Matas J. Tracking-learing-detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828), 2012, 34(7): 1409–1422.

    [5] Babenko B, YANG Ming-hsuan, Belongie S. Visual tracking with online multiple instance learning [C]// 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami, F L, Jun 20-25, 2009: 983–990.

    [6] Santner J, Leistner C, Saffari A, et al. PROST: Parallel robust online simple tracking [C]// 2010 IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, Jun 13-18, 2010: 723–730.

    [7] Kalal Z, Matas J, Mikolajczyk K. P-N learning: Bootstrapping binary classifiers by structural constraints [C]// 2010 IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, C A, Jun 13-18, 2010: 49–56.

    [8] Kwon J, Lee K M. Visual tracking decomposition [C]// 2010 IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, Jun 13-18, 2010: 1269–1276.

    [9] BA S O, ODOBEZ J M. Probabilistic head pose tracking evaluation in single and multiple camera [M]. Berlin: Spring-Verlag, 2008: 276–286.

    [10] LIU Baiyang, HUANG Junzhou, YANG Lin, et al. Robust tracking using local sparse appearance model and k-selection [C]// 2011 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, Jun 20-25, 2011: 1313–1320.

    [11] Ross D A, Lim J, Lin R S, et al. Incremental learning for robust visual tracking [J]. International Journal of Computer Vision(S1573-1405), 2008, 77(1): 125–141.

    [12] WANG Dong, LU Huchuan, YANG Minghsuan. Online object tracking with sparse prototypes [J]. IEEE Transactions on Image Processing(S1057-7149), 2013, 22(1): 314–325.

    [13] WANG Dong, LU Huchuan, YANG Minghsuan. Least Soft-Threshold Squares Tracking [C]// 2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, Jun 23-28, 2013: 2371–2378.

    [14] Grabner H, Bischof H. On-line boosting and vision [C]// 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Taipei, Jun 17-22, 2006, 1: 260–267.

    [15] WANG Shu, LU Huchuan, YANG Fan, et al. Superpixel tracking [C]// 2011 IEEE Computer International Conference on Computer Vision, Barcelona, Nov 6-13, 2011: 1323–1330.

    CLP Journals

    [1] Li Shuangshuang, Zhao Gaopeng, Wang Jianyu. Distractor-Aware Object Tracking Based on Multi-Feature Fusion and Scale-Adaption[J]. Acta Optica Sinica, 2017, 37(5): 515005

    [in Chinese], [in Chinese], [in Chinese]. A Real-time Object Tracking Algorithm Based on Subspace Learning[J]. Opto-Electronic Engineering, 2015, 42(2): 52
    Download Citation