Adaptive Merging Complementary Learners for Visual Tracking Based on Probabilistic Model

Qiujie Dong; Xuedong He; Haiyan Ge; Shengzong Zhou

doi:10.3788/LOP56.161505

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 16 >Page 161505 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 16, 161505 (2019)

Adaptive Merging Complementary Learners for Visual Tracking Based on Probabilistic Model

Qiujie Dong^1,2, Xuedong He^1,2,***, Haiyan Ge^3,**, and Shengzong Zhou^1,*

Author Affiliations

¹ Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China

² School of Data Science, North University of China, Taiyuan, Shanxi 0 30051, China

³ College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, Shandong 255049, China

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DOI: 10.3788/LOP56.161505 Cite this Article Set citation alerts

Qiujie Dong, Xuedong He, Haiyan Ge, Shengzong Zhou. Adaptive Merging Complementary Learners for Visual Tracking Based on Probabilistic Model[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161505 Copy Citation Text

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Article index updated: Mar. 30, 2025

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Qiujie Dong, Xuedong He, Haiyan Ge, Shengzong Zhou. Adaptive Merging Complementary Learners for Visual Tracking Based on Probabilistic Model[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161505

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