Adaptive Merging Complementary Learners for Visual Tracking Based on Probabilistic Model

Qiujie Dong; Xuedong He; Haiyan Ge; Shengzong Zhou

doi:10.3788/LOP56.161505

Laser & Optoelectronics Progress, Volume. 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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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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Paper Information

Category: Machine Vision

Received: Mar. 2, 2019

Accepted: Mar. 25, 2019

Published Online: Aug. 5, 2019

The Author Email: Xuedong He (849459832@qq.com), Haiyan Ge (1178163538@qq.com), Shengzong Zhou (zhousz@fjirsm.ac.cn)

DOI:10.3788/LOP56.161505

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology