Chinese Journal of Ship Research, Volume. 19, Issue 5, 65(2024)

Multi-feature fusion-based robust tracking of small targets in unmanned surface vehicle vision

Ning WANG1,2,3, Wei WU4, Yuanyuan WANG4, Henan SUN5, and Yuan FENG1
Author Affiliations
  • 1College of Marine Engineering , Dalian Maritime University, Dalian 116026, China
  • 2State Key Laboratory of Maritime Technology and Safety, Dalian 116026, China
  • 3Dalian Key Laboratory of Green Power Control and Test for Intelligent Ships, Dalian 116026, China
  • 4College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China
  • 5Ganjizi Marine Department, Dalian Maritime Safety Administration, Dalian 116031, China
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    References(29)

    [2] [2] HE H K, WANG N. Monocular visual servo of unmanned surface vehicles with viewfield constraints[C]2021 33rd Chinese Control Decision Conference (CCDC). Kunming, China: IEEE, 2021: 973978.

    [10] [10] WANG M M, LIU Y, HUANG Z Y. Large margin object tracking with circulant feature maps[C]2017 IEEE Conference on Computer Vision Pattern Recognition. Honolulu, HI: IEEE, 2017: 40214029.

    [11] LIU S, LIU D Y, SRIVASTAVA G et al. Overview and methods of correlation filter algorithms in object tracking[J]. Complex & Intelligent Systems, 7, 1895-1917(2021).

    [12] [12] BOLME D S, ROSS BEVERIDGE J, DRAPER B A, et al. Visual object tracking using adaptive crelation filters[C]2010 IEEE Computer Society Conference on Computer Vision Pattern Recognition. San Francisco, CA: IEEE, 2010: 2544−2550.

    [13] [13] HENRIQUES J F, CASEIRO R, MARTINS P, et al. Exploiting the circulant structure of trackingbydetection with kernels[M]FITZGIBBON A, LAZEBNIK S, PERONA P, et al. Proceedings of the 12th European Conference on Computer Vision Computer Vision. Berlin, Heidelberg: Springer, 2012: 702−715.

    [15] [15] DANELLJAN M, KHAN F S, FELSBERG M, et al. Adaptive col attributes f realtime visual tracking[C]2014 IEEE Conference on Computer Vision Pattern Recognition. Columbus, OH: IEEE, 2014: 1090−1097.

    [16] [16] DANELLJAN M, HÄGER G, KHAN F S, et al. Accurate scale estimation f robust visual tracking[C]British Machine Vision Conference. Nottingham: BMVA Press, 2014.

    [17] [17] WANG N Y, SHI J P, YEUNG D Y, et al. Understing diagnosing visual tracking systems[C]2015 IEEE International Conference on Computer Vision. Santiago, Chile: IEEE, 2015: 3101−3109.

    [18] [18] LI Y, ZHU J K. A scale adaptive kernel crelation filter tracker with feature integration[C]Proceedings of the 13th European Conference on Computer Vision (ECCV). Zurich, Switzerl: Springer, 2014, 8926: 254−265.

    [20] [20] DANELLJAN M, ROBINSON A, KHAN F S, et al. Beyond crelation filters: Learning continuous convolution operats f visual tracking[M]LEIBE B, MATAS J, SEBE N, et al. Proceedings of the 14th European Conference on Computer VisionECCV 2016. Amsterdam, herls: Springer, 2016: 472−488.

    [21] [21] HUANG Z Y, FU C H, LI Y M, et al. Learning aberrance repressed crelation filters f realtime UAV tracking[C]2019 IEEECVF International Conference on Computer Vision. Seoul, ROK: IEEE, 2019: 2891−2900.

    [22] [22] LI Y M, FU C H, DING F Q, et al. AutoTrack: towards highperfmance visual tracking f UAV with automatic spatiotempal regularization[C]2020 IEEECVF Conference on Computer Vision Pattern Recognition. Seattle, WA, USA: IEEE, 2020: 11923−11932.

    [23] [23] WANG H, MOU X Z, MOU W, et al. Vision based long range object detection tracking f unmanned surface vehicle[C]2015 IEEE 7th International Conference on Cyberics Intelligent Systems (CIS) IEEE Conference on Robotics, Automation Mechatronics. Angk Wat, Cambodia: IEEE, 2015: 101−105.

    [28] [28] LIN T Y, MAIRE M, BELONGIE S, et al. Microsoft COCO: Common objects in context[M]FLEET D, PAJDLA T, SCHIELE B, et al. Proceedings of the 13th European Conference on Computer VisionECCV 2014. Zurich, Switzerl: Springer, 2014: 740−755.

    [29] [29] ZHU Z, LIANG D, ZHANG S H, et al. Trafficsign detection classification in the wild[C]2016 IEEE Conference on Computer Vision Pattern Recognition. Las Vegas, NV, USA: IEEE, 2016: 2110−2118.

    [30] [30] ZHANG Z Z, XIE Y P, XING F Y, et al. MD: A semantically visually interpretable medical image diagnosis wk[C]2017 IEEE Conference on Computer Vision Pattern Recognition. Honolulu, HI, USA: IEEE, 2017: 6428−6436.

    [31] [31] PEY A, WANG D L. TCNN: Tempal convolutional neural wk f realtime speech enhancement in the time domain[C]2019 IEEE International Conference on Acoustics, Speech Signal Processing. Brighton, Engl: IEEE, 2019: 6875−6879.

    [32] [32] KRISTAN M, LEONARDIS A, MATAS J, et al. The sixth visual object tracking VOT2018 challenge results[M]LEALTAIXÉ L, ROTH S. Proceedings of the European Conference on Computer VisionECCV 2018 Wkshops. Munich, Germany: Springer, 2018: 1233−1273.

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    Ning WANG, Wei WU, Yuanyuan WANG, Henan SUN, Yuan FENG. Multi-feature fusion-based robust tracking of small targets in unmanned surface vehicle vision[J]. Chinese Journal of Ship Research, 2024, 19(5): 65

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    Paper Information

    Category: Ship Design and Performance

    Received: Jun. 3, 2023

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03394

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