AA-RGTCN: reciprocal global temporal convolution network with adaptive alignment for video-based person re-identification

AA-RGTCN: reciprocal global temporal convolution network with adaptive alignment for video-based person re-identification

Person re-identification(Re-ID) aims to retrieve pedestrians under different cameras. Compared with image-based Re-ID, video-based Re-ID extracts features from video sequences that contain both spatial features and temporal features. Existing methods usually focus on the most attractive image parts,...

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Bibliographic Details
Main Authors: Yanjun Zhang, Yanru Lin, Xu Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Neuroscience
Subjects:
convolutional neural network
video person re-identification
image recognition
temporal modeling
frame alignment
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1329884/full

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https://www.frontiersin.org/articles/10.3389/fnins.2024.1329884/full

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