• Electronics Optics & Control
  • Vol. 23, Issue 10, 21 (2016)
ZHU Su1、2, HE Lianga1, and BO Yu-ming1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2016.10.005 Cite this Article
    ZHU Su, HE Lianga, BO Yu-ming. Target Tracking with Robust Compression Sensing Based on Infrared and Visible Frames[J]. Electronics Optics & Control, 2016, 23(10): 21 Copy Citation Text show less
    References

    [1] BARANIUK R.A lecture on compressive sensing[J].IEEE Signal Processing Magazine, 2007, 24(4):118-121.

    [2] MEI X, LING H B.Robust visual tracking and vehicle classification via sparse representation [J].IEEE Tran-sactions on Pattern Analysis and Machine Intelligence, 2011, 33(11):2259-2272.

    [3] LI H, SHEN C, SHI Q.Real-time visual tracking using compressive sensing[C]//Proceedings of IEEE Confe-rence on Computer Vision and Pattern Recognition, 2012:1305-1312.

    [4] BAO C, WU Y, LING H, et al.Real time robust L1 tracker using accelerated proximal gradient approach[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2013:1830-1837.

    [7] ZHAO G, BO Y, YING M.An object tracking methods based on infrared and visible dual-channel video[J].Journal of Electronics and Information Technology, 2012, 34(3):529-534.

    [8] LAMBERTI F, SANNA A.IVF3:exploiting intensity variation function for high-performance pedestrian tracking in forward-looking infrared imagery[J].Optical Engineering, 2014, 53:1-15.

    ZHU Su, HE Lianga, BO Yu-ming. Target Tracking with Robust Compression Sensing Based on Infrared and Visible Frames[J]. Electronics Optics & Control, 2016, 23(10): 21
    Download Citation