Person Re-Identification Based on Squeeze and Excitation Residual Neural Network and Feature Fusion

Ke Wu; Baohua Zhang; Xiaoqi Lü; Yu Gu; Yueming Wang; Xin Liu; Yan Ren; Jianjun Li; Ming Zhang

doi:10.3788/LOP57.181007

Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181007(2020)

Person Re-Identification Based on Squeeze and Excitation Residual Neural Network and Feature Fusion

Ke Wu¹, Baohua Zhang^1、*, Xiaoqi Lü², Yu Gu¹, Yueming Wang¹, Xin Liu¹, Yan Ren¹, Jianjun Li¹, and Ming Zhang¹

¹School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 0 14010, China

²College of Information Engineering, Inner Mongolia University of Technology, Huhehot, Inner Mongolia 0 10080, China

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Ke Wu, Baohua Zhang, Xiaoqi Lü, Yu Gu, Yueming Wang, Xin Liu, Yan Ren, Jianjun Li, Ming Zhang. Person Re-Identification Based on Squeeze and Excitation Residual Neural Network and Feature Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181007

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Paper Information

Category: Image Processing

Received: Dec. 24, 2019

Accepted: Feb. 10, 2020

Published Online: Sep. 2, 2020

The Author Email: Zhang Baohua (zbh_wj2004@imust.cn)

DOI:10.3788/LOP57.181007

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology