Feature Fusion Video Target Tracking Method Based on Convolutional Neural Network

Meiju Liu; Yongzhan Cao; Shuyun Zhu; Shangkui Yang

doi:10.3788/LOP57.041502

Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041502(2020)

Feature Fusion Video Target Tracking Method Based on Convolutional Neural Network

Meiju Liu¹, Yongzhan Cao^1、*, Shuyun Zhu², and Shangkui Yang³

Author Affiliations

¹Information & Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, Liaoning 110168, China;

²School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning 110168, China

³School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 110168, China

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Meiju Liu, Yongzhan Cao, Shuyun Zhu, Shangkui Yang. Feature Fusion Video Target Tracking Method Based on Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041502

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Paper Information

Category: Machine Vision

Received: May. 13, 2019

Accepted: Jul. 16, 2019

Published Online: Feb. 20, 2020

The Author Email: Yongzhan Cao (1310380534@qq.com)

DOI:10.3788/LOP57.041502

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology