• Acta Optica Sinica
  • Vol. 40, Issue 4, 0415002 (2020)
Yong Li, Dedong Yang*, Yajun Han, and Peng Song
Author Affiliations
  • School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China
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    DOI: 10.3788/AOS202040.0415002 Cite this Article Set citation alerts
    Yong Li, Dedong Yang, Yajun Han, Peng Song. Siamese Neural Network Object Tracking with Distractor-Aware Model[J]. Acta Optica Sinica, 2020, 40(4): 0415002 Copy Citation Text show less
    References

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

    [2] Mao N, Yang D D, Li Y et al. Spatial regularization correlation filtering tracking via deformable diversity similarity[J]. Acta Optica Sinica, 39, 0415002(2019).

    [3] Zhang B, Jiang F B, Liu G. Context-aware tracking based on a visual saliency and perturbation model[J]. Optics and Precision Engineering, 26, 2112-2121(2018).

    [4] Cui Z J, An J S, Cui T S. Real-time and anti-occlusion visual tracking algorithm based on multi-layer deep convolutional features[J]. Acta Optica Sinica, 39, 0715002(2019).

    [5] Dong Q J, He X D, Ge H Y et al. Adaptive merging complementary learners for visual tracking based on probabilistic model[J]. Laser & Optoelectronics Progress, 56, 161505(2019).

    [6] Wang L J, Ouyang W L, Wang X G et al. Visual tracking with fully convolutional networks. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 3119-3127(2015).

    [7] Danelljan M, Hager G, Khan F S et al. Convolutional features for correlation filter based visual tracking. [C]∥2015 IEEE International Conference on Computer Vision Workshop (ICCVW), December 7-13, 2015, Santiago, Chile. New York: IEEE, 621-629(2015).

    [8] Nam H, Han B. Learning multi-domain convolutional neural networks for visual tracking. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 4293-4302(2016).

    [9] Held D, Thrun S, Savarese S. Learning to track at 100 FPS with deep regression networks[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 9905, 749-765(2016).

    [10] Tao R, Gavves E. Smeulders A W M. Siamese instance search for tracking. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 1420-1429(2016).

    [11] Bertinetto L, Valmadre J, Henriques J F et al. Fully-convolutional siamese networks for object tracking[M]. ∥Hua G, Jégou H. Computer vision-ECCV 2016 Workshops. Lecture notes in computer science. Cham: Springer, 9914, 850-865(2016).

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

    [13] Mueller M, Smith N, Ghanem B. A benchmark and simulator for UAV tracking[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 9905, 445-461(2016).

    [14] Guo Q, Feng W, Zhou C et al. Learning dynamic Siamese network for visual object tracking. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 1781-1789(2017).

    [15] Ma C, Huang J B, Yang X K et al. Hierarchical convolutional features for visual tracking. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 3074-3082(2015).

    [16] Liu Q, Yuan D, He Z Y. Thermal infrared object tracking via siamese convolutional neural networks. [C]∥2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), December 15-17, 2017, Shenzhen, China. New York: IEEE, 17614033(2017).

    [17] Jia X, Lu H C, Yang M H. Visual tracking via adaptive structural local sparse appearance model. [C]∥2012 IEEE Conference on Computer Vision and Pattern Recognition, June 16-21, 2012, Providence, RI, USA. New York: IEEE, 1822-1829(2012).

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

    [19] Zhang J M, Ma S G, Sclaroff S. MEEM: robust tracking via multiple experts using entropy minimization[M]. ∥Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science. Cham: Springer, 8694, 188-203(2014).

    [20] Hong Z B, Chen Z, Wang C H et al. MUlti-Store Tracker (MUSTer): a cognitive psychology inspired approach to object tracking. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 749-758(2015).

    [21] 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).

    Yong Li, Dedong Yang, Yajun Han, Peng Song. Siamese Neural Network Object Tracking with Distractor-Aware Model[J]. Acta Optica Sinica, 2020, 40(4): 0415002
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