Target Tracking Based on Adaptive Multilayer Convolutional Feature Decision Fusion

Faling Chen; Qinghai Ding; Haibo Luo; Bin Hui; Zheng Chang; Yunpeng Liu

doi:10.3788/AOS202040.2315002

Acta Optica Sinica, Volume. 40, Issue 23, 2315002(2020)

Target Tracking Based on Adaptive Multilayer Convolutional Feature Decision Fusion

Faling Chen^1,2,3,4,5, Qinghai Ding^1,6, Haibo Luo^1,2,4,5、*, Bin Hui^1,2,4,5, Zheng Chang^1,2,4,5, and Yunpeng Liu^1,2,4,5

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

⁵Liaoning Key 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, Haibo Luo, Bin Hui, Zheng Chang, Yunpeng Liu. Target Tracking Based on Adaptive Multilayer Convolutional Feature Decision Fusion[J]. Acta Optica Sinica, 2020, 40(23): 2315002

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Paper Information

Category: Machine Vision

Received: Aug. 7, 2020

Accepted: Aug. 31, 2020

Published Online: Nov. 23, 2020

The Author Email: Luo Haibo (luohb@sia.cn)

DOI:10.3788/AOS202040.2315002

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