• Laser & Optoelectronics Progress
  • Vol. 58, Issue 4, 0410009 (2021)
Wei Guo, Chen Yang*, Haicheng Qu, and Yuzhe Xing
Author Affiliations
  • School of Software, Liaoning Technical University,Huludao, Liaoning 125105, China
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    DOI: 10.3788/LOP202158.0410009 Cite this Article Set citation alerts
    Wei Guo, Chen Yang, Haicheng Qu, Yuzhe Xing. TLD Target Tracking Fused with GMS Detection and Confidence Discrimination[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410009 Copy Citation Text show less
    References

    [1] Ge B Y, Zuo X Z, Hu Y J. Review of visual object tracking technology[J]. Journal of Image and Graphics, 23, 1091-1107(2018).

    [2] Ross D A, Lim J, Lin R S et al. Incremental learning for robust visual tracking[J]. International Journal of Computer Vision, 77, 125-141(2008). http://dl.acm.org/citation.cfm?id=1346002

    [3] Vojir T, Noskova J, Matas J. Robust scale-adaptive mean-shift for tracking[J]. Pattern Recognition Letters, 49, 250-258(2014).

    [4] Xiao J, Zhu S P, Huang H et al. Object detecting and tracking algorithm based on optical flow[J]. Journal of Northeastern University (Natural Science), 37, 770-774(2016).

    [5] Bolme D S, Beveridge J R, Draper B A et al. Visual object tracking using adaptive correlation filters[C]∥2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, San Francisco, CA, USA., 2544-2550(2010).

    [6] Henriques J F, Caseiro R, Martins P et al. Exploiting the circulant structure of tracking-by-detection with kernels[M]. ∥Computer Vision - ECCV 2012. Berlin, Heidelberg: Springer Berlin Heidelberg, 702-715(2012).

    [7] Henriques J F, Caseiro R, Martins P et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 583-596(2015).

    [8] Danelljan M, Häger G, Khan F S et al. Learning spatially regularized correlation filters for visual tracking[C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 4310-4318(2015).

    [9] Danelljan M, Häger G, Khan F S et al. Nottingham. British Machine Vision Association, 2014: 65.1-, 65, 11(2014).

    [10] Danelljan M, Häger G, Khan F S et al. Discriminative scale space tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1561-1575(2017).

    [11] Liu W J, Sun H, Jiang W T. Correlation filter tracking algorithm for adaptive feature selection[J]. Acta Optica Sinica, 39, 0615004(2019).

    [12] Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 1409-1422(2012).

    [13] Lü R P, Cai X Y, Dong L et al. Context object tracking algorithm based on TLD framework[J]. Video Engineering, 39, 6-9, 43(2015).

    [14] Zhou X, Qian Q M, Ye Y Q et al. Improved TLD visual target tracking algorithm[J]. Journal of Image and Graphics, 18, 1115-1123(2013).

    [15] Sun C J, Zhu S H, Liu J W. FusingKalman filter with TLD algorithm for target tracking[C]∥2015 34th Chinese Control Conference (CCC), July 28-30, 2015, Hangzhou, China., 3736-3741(2015).

    [16] Sun Y J, Zhang L Y, Yun X. Visual tracking algorithm based on region estimation and adaptive classification[J]. Laser & Optoelectronics Progress, 56, 181001(2019).

    [17] Fu M, Xing C J. Improved TLD target tracking method based on frame difference[J]. Electronic Design Engineering, 25, 183-186(2017).

    [18] Briechle K, Hanebeck U D. Template matching using fast normalized cross correlation[J]. Proceedings of SPIE, 4387, 95-102(2001).

    [19] LiuW, AnguelovD, ErhanD, et al.SSD: single shot multibox detector[C]∥European Conference on Computer Vision. Springer International Publishing, 2016.

    [20] Lü B K, Wu C M, Tian X P. Fast image matching algorithm based on best-buddies similarity[J]. Laser & Optoelectronics Progress, 57, 101018(2020).

    [21] Kalal Z, Matas J, Mikolajczyk K. P-, 49-56(2010).

    [22] Liu H J. Design and implementation of moving target detection system based on FPGA + DSP[D]. Nanjing: Nanjing University of Science and Technology(2015).

    [23] Wang M M, Liu Y, Huang Z Y. Large margin object tracking with circulant feature maps[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 4800-4808(2017).

    [24] Bian JW, Lin WY, MatsushitaY, et al.GMS: grid-based motion statistics for fast, ultra-robust feature correspondence[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE Press, 2017: 2828- 2837.

    [25] Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1834-1848(2015).

    [26] BertinettoL, ValmadreJ, GolodetzS, et al.Staple: complementary learners for real-time tracking[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE Press, 2016: 1401- 1409.

    Wei Guo, Chen Yang, Haicheng Qu, Yuzhe Xing. TLD Target Tracking Fused with GMS Detection and Confidence Discrimination[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410009
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