Acta Optica Sinica, Volume. 41, Issue 6, 0615002(2021)

Global-Aware Siamese Network for Thermal Infrared Object Tracking

Chang Li, Dedong Yang*, Peng Song, and Chang Guo
Author Affiliations
  • School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China
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    References(31)

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

    [2] He Y J, Li M, Zhang J L et al. Infrared target tracking via weighted correlation filter[J]. Infrared Physics & Technology, 73, 103-114(2015).

    [7] Danelljan M, Häger G, Shahbaz Khan F et al. Accurate scale estimation for robust visual tracking. [C]∥Proceedings of the British Machine Vision Conference 2014, Nottingham. British Machine Vision Association, 1-11(2014).

    [8] Gundogdu E, Koc A, Solmaz B et al. Evaluation of feature channels for correlation-filter-based visual object tracking in infrared spectrum[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 26 - July 1, 2016, Las Vegas, NV, USA., 290-298(2016).

    [10] Simonyan K. -04-10)[2020-09-01]. https:∥arxiv., org/abs/1409, 1556(2015).

    [11] [11] DanelljanM, BhatG, Khan FS, et al.ECO: efficient convolution operators for tracking[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE Press, 2017: 6931- 6939.

    [12] Zhang L C. Gonzalez-Garcia A, van de Weijer J, et al. Synthetic data generation for end-to-end thermal infrared tracking[J]. IEEE Transactions on Image Processing, 28, 1837-1850(2019).

    [13] Zhu J Y, Park T, Isola P et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy., 2242-2251(2017).

    [14] Isola P, Zhu J Y, Zhou T H et al. Image-to-image translation with conditional adversarial networks[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 5967-5976(2017).

    [15] Bertinetto L, Valmadre J, Henriques J F et al[M]. Fully-convolutional siamese networks for object tracking, 850-865(2016).

    [16] Dong X P, Shen J B[M]. Triplet loss in Siamese network for object tracking, 472-488(2018).

    [17] Valmadre J, Bertinetto L, Henriques J et al. End-to-end representation learning for correlation filter based tracking[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 5000-5008(2017).

    [18] [18] WangQ, TengZ, Xing JL, et al.Learning attentions: residual attentional Siamese network for high performance online visual tracking[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE Press, 2018: 4854- 4863.

    [19] Li X, Ma C, Wu B Y et al. Target-aware deep tracking[C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 1369-1378(2019).

    [20] Zhang Z P, Peng H W. Deeper and wider Siamese networks for real-time visual tracking[C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 4586-4595(2019).

    [21] Bell S, Zitnick C L, Bala K et al. Inside-, 2874-2883(2016).

    [22] Jaderberg M, Simonyan K, Zisserman A et al. Spatial transformer networks. [C]∥NIPS'15: Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2., 2017-2025(2015).

    [23] Woo S, Park J, Lee J Y et al[M]. CBAM: convolutional block attention module, 3-19(2018).

    [24] Hu J, Shen L, Albanie S et al. Squeeze-and-excitation networks[C]∥IEEE Transactions on Pattern Analysis and Machine Intelligence,(2023).

    [25] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need. [C]∥Advances in Neural Information Processing Systems, 5998-6008(2017).

    [27] Wang N, Song Y B, Ma C et al. Unsupervised deep tracking[C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 1308-1317(2019).

    [28] [28] Song YB, MaC, Gong LJ, et al.CREST: convolutional residual learning for visual tracking[C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE Press, 2017: 2574- 2583.

    [30] 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).

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    Chang Li, Dedong Yang, Peng Song, Chang Guo. Global-Aware Siamese Network for Thermal Infrared Object Tracking[J]. Acta Optica Sinica, 2021, 41(6): 0615002

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    Paper Information

    Category: Machine Vision

    Received: Sep. 8, 2020

    Accepted: Nov. 11, 2020

    Published Online: Apr. 7, 2021

    The Author Email: Yang Dedong (ydd12677@163.com)

    DOI:10.3788/AOS202141.0615002

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