Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041501(2020)

Visual Object Tracking Based on Bilinear Convolutional Neural Network

Chunting Zhang*
Author Affiliations
  • School of Electronics and Information Engineering, Tianjin University, Tianjin 300072, China
  • show less
    References(33)

    [2] 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).

    [3] Song Y B, Ma C, Wu X H et al. VITAL: visual tracking via adversarial learning. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT. New York: IEEE, 18326240(2018).

    [4] Goodfellow I, Pouget-Abadie J, Mirza M et al. Generative adversarial nets. [C]∥Advances in Neural Information Processing Systems, December 8-13, 2014, Montreal, Quebec, Canada. [S. l. : s. n.], 2672-2680(2014).

    [5] Bolme D, 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. New York: IEEE, 2544-2550(2010).

    [6] Danelljan M, Khan F S, Felsberg M et al. Adaptive color attributes for real-time visual tracking. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 1090-1097(2014).

    [7] Henriques J F, Caseiro R, Martins P et al. Exploiting the circulant structure of tracking-by-detection with kernels[M]. ∥Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ECCV 2012. Lecture notes in computer science. Berlin: Springer, 7575, 702-715(2012).

    [8] 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).

    [11] Wang N, Yeung D Y. Learning a deep compact image representation for visual tracking. [C]∥Advances in Neural Information Processing Systems, December 5-8, 2013, Lake Tahoe, Nevada, United States. [S. l. : s. n.], 809-817(2013).

    [12] Wang N Y, Li S Y, Gupta A et al. -04-23)[2019-05-16]. https:∥arxiv.gg363., site/abs/1501, 04587(2015).

    [13] 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).

    [14] 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).

    [15] Lu X K, Ma C, Ni B B et al. Deep regression tracking with shrinkage loss[M]. ∥Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science. Cham: Springer, 11218, 369-386(2018).

    [16] Song Y B, Ma C, Gong L J 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, 2574-2583(2017).

    [17] Lin T Y. RoyChowdhury A, Maji S. Bilinear CNN models for fine-grained visual recognition. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1449-1457(2015).

    [18] Fukui A, Park D H, Yang D, visual grounding[J/OL] et al. -09-24)[2019-05-16]. https:∥arxiv.gg363., site/abs/1606, 01847(2016).

    [19] Simonyan K. -04-10)[2019-05-16]. https:∥arxiv.gg363., site/abs/1409, 1556(2015).

    [20] Gao Y, Beijbom O, Zhang N et al. Compact bilinear pooling. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 317-326(2016).

    [21] Jia Y Q, Shelhamer E, Donahue J et al. Caffe: convolutional architecture for fast feature embedding. [C]∥Proceedings of the ACM International Conference on Multimedia - MM '14, November 3-7, 2014, Orlando, Florida, USA. New York: ACM, 675-678(2014).

    [22] Kingma D P. -01-30)[2019-05-16]. https:∥arxiv.gg363., site/abs/1412, 6980(2017).

    [23] Wu Y, Lim J, Yang M H. Online object tracking: a benchmark. [C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA. New York: IEEE, 13824581(2013).

    [24] Bertinetto L, Valmadre J, Golodetz S 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, 1401-1409(2016).

    [25] 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).

    [26] Qi Y K, Zhang S P, Qin L et al. Hedged deep tracking. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 4303-4311(2016).

    [27] 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, 16526810(2016).

    [28] Danelljan M, Bhat G, Khan F S 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, 6931-6939(2017).

    [29] Ma C, Yang X K, Zhang C Y et al. Long-term correlation tracking. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 5388-5396(2015).

    [30] Danelljan M, Hager G, Khan F S et al. Adaptive decontamination of the training set: a unified formulation for discriminative visual tracking. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 1430-1438(2016).

    [31] 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, September 2014, Nottingham.(2014).

    [32] Li Y, Zhu J K. A scale adaptive kernel correlation filter tracker with feature integration[M]. ∥Agapito L, Bronstein M, Rother C. Computer vision - ECCV 2014 Workshops. Lecture notes in computer science. Cham: Springer, 8926, 254-265(2015).

    [33] Lukezic A, Vojir T, Zajc L C et al. Discriminative correlation filter with channel and spatial reliability. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 4847-4856(2017).

    Tools

    Get Citation

    Copy Citation Text

    Chunting Zhang. Visual Object Tracking Based on Bilinear Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041501

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: May. 17, 2019

    Accepted: Jul. 16, 2019

    Published Online: Feb. 20, 2020

    The Author Email: Zhang Chunting (627626174@qq.com)

    DOI:10.3788/LOP57.041501

    Topics