Laser & Optoelectronics Progress, Volume. 56, Issue 1, 010702(2019)

Long-Term Object Tracking Algorithm Based on Kernelized Correlation Filter

Zhengchong Mao and Haidong Chen*
Author Affiliations
  • Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122, China
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    References(15)

    [1] Kristan M, Matas J, Leonardis A et al. The visual object tracking VOT2015 challenge results. [C]∥IEEE International Conference on Computer Vision Workshop (ICCVW), 564-586(2015).

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    [6] Bolme D S, Beveridge J R, Draper B A et al. Visual object tracking using adaptive correlation filters. [C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2544-2550(2010).

    [7] Henriques J F, Caseiro R, Martins P et al. Exploiting the circulant structure of tracking-by-detection with kernels. [C]∥European Conference on Computer Vision, 702-715(2012).

    [8] Danelljan M, Khan F S, Felsberg M et al. Adaptive color attributes for real-time visual tracking. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, 1090-1097(2014).

    [13] Wu Y, Lim J, Yang M H. Online object tracking:a benchmark. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2411-2418(2013).

    [15] Hare S, Saffari A. Torr P H S. Struck: structured output tracking with kernels. [C]∥International Conference on Computer Vision, 263-270(2011).

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    Zhengchong Mao, Haidong Chen. Long-Term Object Tracking Algorithm Based on Kernelized Correlation Filter[J]. Laser & Optoelectronics Progress, 2019, 56(1): 010702

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    Paper Information

    Category: Fourier Optics and Signal Processing

    Received: Jun. 13, 2018

    Accepted: Jul. 18, 2018

    Published Online: Aug. 1, 2019

    The Author Email: Haidong Chen (714778302@qq.com)

    DOI:10.3788/LOP56.010702

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