Feature Fusion Video Target Tracking Method Based on Convolutional Neural Network

Meiju Liu; Yongzhan Cao; Shuyun Zhu; Shangkui Yang

doi:10.3788/LOP57.041502

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 4 >Page 041502 > Article

Laser & Optoelectronics Progress
Vol. 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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DOI: 10.3788/LOP57.041502 Cite this Article Set citation alerts

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 Copy Citation Text

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Article index updated: May. 19, 2024

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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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