• Optics and Precision Engineering
  • Vol. 25, Issue 9, 2499 (2017)
WANG Xiu-you1,2,*, FAN Jian-zhong1, LIU Hua-ming1, and XU Dong-qing1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/ope.20172509.2499 Cite this Article
    WANG Xiu-you, FAN Jian-zhong, LIU Hua-ming, XU Dong-qing. Visual tracking via adaptive interactive fusion[J]. Optics and Precision Engineering, 2017, 25(9): 2499 Copy Citation Text show less
    References

    [1] NUMMIARO K, KOLLER-MEIER E, VAN GOOL L. An adaptive color-based particle filter [J]. Image and Vision Computing, 2003, 21(1): 99-110.

    [2] ZHUANG B H, LU H C, XIAO Z Y, et al.. Visual tracking via discriminative sparse similarity map [J]. IEEE Transactions on Image Processing, 2014, 23(4): 1872-1881.

    [3] WANG Q, JIN X F.Vehicle detecting and tracking method in complex environments [J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(5): 511-517. (in Chinese)

    [4] CUI X W, WU Q ZH, JIANG P, et al.. Affine-invariant target tracking based on subspace representation [J]. Infrared and Laser Engineering, 2015, 44(2): 769-774. (in Chinese)

    [5] XING Y L, LI A H, CUI ZH G, et al.. Moving target tracking algorithm based on improved Kernelized correlation filter [J]. Infrared and Laser Engineering, 2016, 45(S1): 214-221. (in Chinese)

    [6] ZHAO Y F.Improved mean-shift algorithm combined with adaptive kernel function [J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(12): 1143-1148. (in Chinese)

    [7] CEHOVIN L, KRISTAN M, LEONARDIS A. Robust visual tracking using an adaptive coupled-layer visual model [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(4): 941-953.

    [8] ZHONG W, LU H C, YANG M H. Robust object tracking via sparsity-based collaborative model [C]. 2012 IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2012: 1838-1845.

    [9] GAO Y, JI R R, ZHANG L F, et al.. Symbiotic tracker ensemble toward a unified tracking framework [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2014, 24(7): 1122-1131.

    [10] BIRESAW T A, CAVALLARO A, REGAZZONI C S. Tracker-level fusion for robust Bayesian visual tracking [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2015, 25(5): 776-789.

    [11] JILKOV V P, LI X R. Online Bayesian estimation of transition probabilities for Markovian jump systems [J]. IEEE Transactions on Signal Processing, 2004, 52(6): 1620-1630.

    [12] SANMIGUEL J C, CAVALLARO A, MARTINEZ J M. Adaptive online performance evaluation of video trackers [J]. IEEE Transactions on Image Processing, 2012, 21(5): 2812-2823.

    [13] WU Y, LIM J, YANG M H. Object tracking benchmark [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848.

    [14] ROSS D A, LIM J, LIN R S, et al.. Incremental learning for robust visual tracking [J]. International Journal of Computer Vision, 2008, 77(1-3): 125-141.

    [15] BABENKO B, YANG M H, BELONGIE S. Visual tracking with online multiple instance learning [C]. IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2009: 983-990.

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    [2] ZHENG Bin-qi, LI Bao-qing, LIU Hua-wei, YUAN Xiao-bing. Distributed target tracking based on adaptive consensus UKF[J]. Optics and Precision Engineering, 2019, 27(1): 260

    WANG Xiu-you, FAN Jian-zhong, LIU Hua-ming, XU Dong-qing. Visual tracking via adaptive interactive fusion[J]. Optics and Precision Engineering, 2017, 25(9): 2499
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