Electronics Optics & Control, Volume. 31, Issue 12, 78(2024)

Transformer-Based Scale-Adaptive Hyperspectral Target Tracker

HUANG Kunpeng1, WEI Yuqing1, YU Jie2, DOU Yetian1, XU Huanyu2, ZHAO Dong1, and WANG Qing1
Author Affiliations
  • 1Wuxi University, School of Electronics and Information Engineering, Wuxi 214000, China
  • 2Wuxi University, School of Internet of Things Engineering, Wuxi 214000, China
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    References(18)

    [1] [1] MARQUES J S, JORGE P M, ABRANTES A J, et al. Tracking groups of pedestrians in video sequences[C]//Conference on Computer Vision and Pattern Recognition Workshop (CVPRW). Madison: IEEE, 2003, 9: 101-101.

    [2] [2] SATHYANARAYANA A, SADJADI S O, HANSEN J H L. Leveraging sensor information from portable devices towards automatic driving maneuver recognition[C]//15th International IEEE Conference on Intelligent Transportation Systems. Anchorage: IEEE, 2012: 660-665.

    [3] [3] XIANG Y, ALAHI A, SAVARESE S. Learning to track: online multi-object tracking by decision making[C]//IEEE International Conference on Computer Vision (ICCV). Santiago: IEEE, 2015: 4705-4713.

    [4] [4] BERTINETTO L, VALMADRE J, HENRIQUES J F, et al. Fully-convolutional siamese networks for object tracking[C]//Computer Vision-ECCV 2016 Workshops, Part II 14. Cham: Springer, 2016: 850-865.

    [5] [5] XIONG F C, ZHOU J, QIAN Y T. Material based object tracking in hyperspectral videos[J]. IEEE Transactions on Image Processing, 2020, 29: 3719-3733.

    [6] [6] ZHANG Z, ZHU X G, ZHAO D, et al. Hyperspectral video target tracking based on deep features with spectral matching reduction and adaptive scale 3D Hog features[J]. Remote Sensing, 2022, 14(23): 5958.

    [7] [7] ZHAO D, CAO J L, ZHU X G, et al. Hyperspectral video target tracking based on deep edge convolution feature and improved context filter[J]. Remote Sensing, 2022, 14(24): 6219.

    [8] [8] ZHANG Z, HU B, WANG M Y, et al. Hyperspectral video tracker based on spectral deviation reduction and a double siamese network[J]. Remote Sensing, 2023, 15(6): 1579.

    [9] [9] ZHANG Z, QIAN K, DU J, et al. Multi-features integration based hyperspectral videos tracker[C]//11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Amsterdam: IEEE, 2021: 1-5.

    [10] [10] ZHU X G, ZHANG H R, HU B, et al. DSP-Net: a dynamic spectral-spatial joint perception network for hyperspectral target tracking[J]. IEEE Geoscience and Remote Sensing Letters, 2023(20): 1-5.

    [11] [11] LIU Z, LIN Y T, CAO Y, et al. Swin Transformer: hierarchical vision transformer using shifted windows[C]//IEEE/CVF International Conference on Computer Vision (ICCV). Montreal: IEEE, 2021: 9992-10002.

    [12] [12] WOLD S, ESBENSEN K, GELADI P. Principal component analysis[J]. Chemometrics and Intelligent Laboratory Systems, 1987, 2(1-3): 37-52.

    [13] [13] UZKENT B, RANGNEKAR A, HOFFMAN M J. Tracking in aerial hyperspectral videos using deep kernelized correlation filters[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(1): 449-461.

    [14] [14] QIAN K, ZHOU J, XIONG F C, et al. Object tracking in hyperspectral videos with convolutional features and kernelized correlation filter[C]//Smart Multimedia: First International Conference, ICSM 2018. Cham: Springer, 2018: 308-319.

    [15] [15] CUI Y T, JIANG C, WANG L M, et al. Mixformer: end-to-end tracking with iterative mixed attention[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). New Orleans: IEEE, 2022: 13608-13618.

    [16] [16] SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition[R]. Los Alamos: arXiv Preprint, 2014: arXiv: 1409.1556.

    [17] [17] FAN H, LIN L T, YANG F, et al. LaSOT: a high-quality benchmark for large-scale single object tracking[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach: IEEE, 2019: 5374-5383.

    [18] [18] MULLER M, BIBI A, GIANCOLA S, et al. TrackingNet: a large-scale dataset and benchmark for object tracking in the wild[C]//Proceedings of the European Conference on Computer Vision (ECCV). Cham: Springer, 2018: 300-327.

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    HUANG Kunpeng, WEI Yuqing, YU Jie, DOU Yetian, XU Huanyu, ZHAO Dong, WANG Qing. Transformer-Based Scale-Adaptive Hyperspectral Target Tracker[J]. Electronics Optics & Control, 2024, 31(12): 78

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    Paper Information

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    Received: Dec. 14, 2023

    Accepted: Dec. 25, 2024

    Published Online: Dec. 25, 2024

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2024.12.012

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