Acta Optica Sinica, Volume. 40, Issue 23, 2315002(2020)

Target Tracking Based on Adaptive Multilayer Convolutional Feature Decision Fusion

Faling Chen1,2,3,4,5, Qinghai Ding1,6, Haibo Luo1,2,4,5、*, Bin Hui1,2,4,5, Zheng Chang1,2,4,5, and Yunpeng Liu1,2,4,5
Author Affiliations
  • 1Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 2Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110169, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 5Liaoning Key Laboratory of Image Understanding and Computer Vision, Shenyang, Liaoning 110016, China
  • 6Space Star Technology Co., Ltd., Beijing 100086, China
  • show less
    References(26)

    [1] Lu H C, Wang D. Online visual tracking[M]. Singapore: Springer(2019).

    [2] Li X, Zha Y F, Zhang T Z et al. Survey of visual object tracking algorithms based on deep learning[J]. Journal of Image and Graphics, 24, 2057-2080(2019).

    [3] 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).

    [4] 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).

    [5] [5] 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.

    [6] Zhang G S, Hao J X. Tracking algorithm based on location correction mechanism and model update strategy[J]. Information and Control, 49, 177-187(2020).

    [7] Chang M, Shen K, Zhang X D et al. Correlation filter tracking based on adaptive feature fusion and model updating[J]. Acta Optica Sinica, 39, 0915001(2019).

    [8] Wang H Y, Wang L, Yin W R et al. Multi-scale correlation filtering visual tracking algorithm combined with target detection[J]. Acta Optica Sinica, 39, 0115004(2019).

    [9] Zhang Z, Sun J, Yang L T. Tracking algorithm based on correlation filter fusing with keypoint matching[J]. Acta Optica Sinica, 39, 0215001(2019).

    [10] Wang N Y, Yeung D Y. Learning a deep compact image representation for visual tracking. [C]∥Proceedings of the 27th Annual Conference on Neural Information Processing Systems (NIPS), December 5-10, 2013, Lake Tahoe, NV, USA. New York: Curran Associstes, 809-817(2013).

    [11] 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., 3119-3127(2015).

    [12] 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., 3074-3082(2015).

    [13] 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., 4303-4311(2016).

    [14] Qi Y K, Zhang S P, Qin L et al. Hedging deep features for visual tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41, 1116-1130(2019).

    [15] Xiong C Z, Che M Q, Wang R L et al. Robust real-time visual tracking via dual model adaptive switching[J]. Acta Optica Sinica, 38, 1015002(2018).

    [16] Jin H, Li X Y. Image saliency detection based residual network feature fusion tracking algorithm[J]. Laser and Optoelectronics Progress, 57, 181025(2020).

    [17] Simonyan K. -04-10)[2020-08-07]. https: ∥arxiv., org/abs/1409, 1556(2015).

    [18] Chaudhuri K, Freund Y, Hsu D. A parameter-free hedging algorithm. [C]∥Proceeding of the 23rd Annual Conference on Neural Information Processing Systems (NIPS), December 7-10, 2009, Vancouver, BC, Canada. New York: Curran Associstes, 297-305(2009).

    [19] 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 1-5, 2014, Nottingham, UK.(2014).

    [20] Chen F L, Ding Q H, Chang Z et al. Multi-scale kernel correlation filter algorithm for visual tracking based onthe fusion of adaptive features[J]. Acta Optica Sinica, 40, 0315001(2020).

    [21] Bibi A, Ghanem B. Multi-templatescale-adaptive kernelized correlation filters[C]∥2015 IEEE International Conference on Computer Vision Workshop (ICCVW), December 7-13, 2015, Santiago, Chile., 613-620(2015).

    [22] [22] WuY, LimJ, Yang MH. 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 Press, 2013: 2411- 2418.

    [23] 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. Lecture notes in computer science. Cham: Springer, 9914, 850-865(2016).

    [24] Ning J F, Yang J M, Jiang S J et al. Object tracking via dual linear structured SVM and explicit feature map[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 4266-4274(2016).

    [25] 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).

    [26] Gao J, Ling H B, Hu W M et al. Transfer learning based visual tracking with Gaussian processes regression[M]. ∥Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science. Cham: Springer, 8691, 188-203(2014).

    Tools

    Get Citation

    Copy Citation Text

    Faling Chen, Qinghai Ding, Haibo Luo, Bin Hui, Zheng Chang, Yunpeng Liu. Target Tracking Based on Adaptive Multilayer Convolutional Feature Decision Fusion[J]. Acta Optica Sinica, 2020, 40(23): 2315002

    Download Citation

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

    Category: Machine Vision

    Received: Aug. 7, 2020

    Accepted: Aug. 31, 2020

    Published Online: Nov. 23, 2020

    The Author Email: Luo Haibo (luohb@sia.cn)

    DOI:10.3788/AOS202040.2315002

    Topics