Laser & Optoelectronics Progress, Volume. 58, Issue 20, 2015002(2021)

Siamese Network Target Tracking Based on Buffer and Triplet Loss

Jia Guo, Peng Wang*, Yongxia Yang, Xiaoyan Li, Ruohai Di, and Xue Li
Author Affiliations
  • School of Electronic and Information Engineering, Xi’an Technological University, Xi’an, Shaanxi 710021, China
  • show less
    References(20)

    [1] 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, 9914, 850-865(2016).

    [2] 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).

    [3] Dong X P, Shen J B. Triplet loss in Siamese network for object tracking[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11217, 472-488(2018).

    [4] Li B, Yan J J, Wu W et al. High performance visual tracking with Siamese region proposal network[C]. //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 8971-8980(2018).

    [5] Li B, Wu W, Wang Q et al. SiamRPN++: evolution of Siamese visual tracking with very deep networks[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 4277-4286(2019).

    [6] Zhu Z, Wang Q, Li B et al. Distractor-aware Siamese networks for visual object tracking[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11213, 103-119(2018).

    [7] Wang Q, Zhang L, Bertinetto L et al. Fast online object tracking and segmentation: a unifying approach[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA, 1328-1338(2019).

    [8] Wang D W, Fang H Y, Liu Y et al. Algorithm for panoramic video tracking based on improved SiameseRPN[J]. Laser & Optoelectronics Progress, 57, 241008(2020).

    [9] Zhou W, Tang H L, Li G D et al. DDAT target tracking algorithm based on occlusion detection mechanism[J]. Laser & Optoelectronics Progress, 57, 241501(2020).

    [10] Shen Y L, Wu Z D, Zhao R J et al. Long-term object tracking based on model updating and fast re-detection[J]. Acta Optica Sinica, 40, 0315002(2020).

    [11] 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., 4293-4302(2016).

    [13] Dai K H, Wang Y H, Yan X Y. Long-term object tracking based on Siamese network[C]. //2017 IEEE International Conference on Image Processing (ICIP), September 17-20, 2017, Beijing, China., 3640-3644(2017).

    [14] Zhang J, Hao Z H, Liu J. Template-updating algorithm based on optical flow mapping in object tracking[J]. Laser & Optoelectronics Progress, 57, 221507(2020).

    [15] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

    [17] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

    [18] Real E, Shlens J, Mazzocchi S et al. YouTube-BoundingBoxes: a large high-precision human-annotated data set for object detection in video[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA, 7464-7473(2017).

    [19] Russakovsky O, Deng J, Su H et al. ImageNet large scale visual recognition challenge[J]. International Journal of Computer Vision, 115, 211-252(2015).

    [20] 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, 2411-2418(2013).

    Tools

    Get Citation

    Copy Citation Text

    Jia Guo, Peng Wang, Yongxia Yang, Xiaoyan Li, Ruohai Di, Xue Li. Siamese Network Target Tracking Based on Buffer and Triplet Loss[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2015002

    Download Citation

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

    Category: Machine Vision

    Received: Dec. 8, 2020

    Accepted: Jan. 7, 2021

    Published Online: Oct. 14, 2021

    The Author Email: Wang Peng (wang_peng@xatu.edu.cn)

    DOI:10.3788/LOP202158.2015002

    Topics