ZHAO Y R, NIU D J, YANG H M,et al.Person re-identification based on attention mechanism and gesture recognition[J].Journal of Henan Polytechnic University(Natural Science) ,2023,42(2):120-126.

doi:10.16186/j.cnki.1673-9787.2021070059

Received:2021/07/16

Revised:2021/10/14

Published:2023/03/25

Person re-identification based on attention mechanism and gesture recognition

ZHAO Yanru, NIU Dongjie, YANG Huimeng

School of Mechanical and Power Engineering，Henan Polytechnic University，Jiaozuo 454000，Henan，China

Abstract:In the person re-identification of the posture change，occlusion，background and other issues，in order to improve the performance of person re-identification under occlusion，a person re-recognition method based on the combination of attention mechanism and gesture recognition was proposed.The global attention network and the posture recognition network were used to extract the global features，the thermal map of the joint position and the corresponding confidence，respectively.The local features of pedestrians at 13 joint points and fusion of all joints were obtained by calculation.Pedestrian classification training was conducted for global features and 14 local features respectively，and multi-task learning was used to learn multiple losses to jointly supervise network optimization.The Rank-1/mAP values tested on the two large-scale public datasets Market1501 and DukeMTMC-reID reached 85.1%/75.6% and 64.3%/55.3%，respectively.It was shown that the designed method with high recognition accuracy had excellent ability resist to posture changes，occlusion and background.

Key words:deep learning;person re-identification;attention mechanism;gesture recognition;feature fusion;local feature;global feature

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