Acta Optica Sinica, Volume. 40, Issue 3, 0315001(2020)

Multi-Scale Kernel Correlation Filter Algorithm for Visual Tracking Based on the Fusion of Adaptive Features

Faling Chen1,2,3,4,5、*, Qinghai Ding1,6, Zheng Chang1,2,4,5, Hongyu Chen1,2,3,4,5, Haibo Luo1,2,4,5, Bin Hui1,2,4,5, and Yunpeng Liu1,2,4,5
Author Affiliations
  • 1Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 2Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110169, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 5Key Laboratory of Image Understanding and Computer Vision, Shenyang, Liaoning 110016, China
  • 6Space Star Technology Co., Ltd., Beijing 100086, China
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    Faling Chen, Qinghai Ding, Zheng Chang, Hongyu Chen, Haibo Luo, Bin Hui, Yunpeng Liu. Multi-Scale Kernel Correlation Filter Algorithm for Visual Tracking Based on the Fusion of Adaptive Features[J]. Acta Optica Sinica, 2020, 40(3): 0315001

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    Paper Information

    Category: Machine Vision

    Received: Jul. 25, 2019

    Accepted: Sep. 29, 2019

    Published Online: Feb. 17, 2020

    The Author Email: Chen Faling (chfling@sia.cn)

    DOI:10.3788/AOS202040.0315001

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