Electronics Optics & Control, Volume. 28, Issue 7, 6(2021)

Infrared Target Tracking Based on Improved Kernel Correlation Filter Algorithm

WANG Chengyun1... ZHANG Longjie1, LI Xiangmin1, LI Yankuan2 and ZHANG Longyun3 |Show fewer author(s)
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  • 1[in Chinese]
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  • 3[in Chinese]
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    References(8)

    [1] [1] MA Y L.An object tracking algorithm based on optical flow and temporal-spatial context[J].Cluster Computing,2017,22(3):154-172.

    [4] [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,2015,37(3): 583-596.

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    [6] [6] WANG M M,LIU Y.Large margin object tracking with circulant feature maps[C]//IEEE Conference on Computer Vision and Pattern Recognition,2017:4800-4808.

    [9] [9] YANG L,ZHU J K.A scale adaptive kernel correlation filter tracker with feature integration[C]//European Conference on Computer Vision,2014:254-265.

    [10] [10] WANG N Y,SHI J P,YEUNG D Y,et al.Understanding and diagnosing visual tracking systems[C]//IEEE International Conference on Computer Vision (ICCV),2015:3101-3109.

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    [13] [13] WU Y,LIM J W,YANG M H.Object tracking benchmark[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2015,37(9):1834-1848.

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    WANG Chengyun, ZHANG Longjie, LI Xiangmin, LI Yankuan, ZHANG Longyun. Infrared Target Tracking Based on Improved Kernel Correlation Filter Algorithm[J]. Electronics Optics & Control, 2021, 28(7): 6

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    Paper Information

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    Received: Jun. 13, 2020

    Accepted: --

    Published Online: Aug. 6, 2021

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2021.07.002

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