Multiview Gait Recognition on Unconstrained Path Using Graph Convolutional Neural Network
Author:
Affiliation:
1. Department of Computer Science, University of Calgary, Calgary, AB, Canada
2. Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
Funder
Natural Sciences and Engineering Research Council (NSERC) of Canada by the Discovery Grant (DG) on Machine Intelligence for Biometric Security
Strategic Partnership Grant on Biometric-Enabled Identity Management and Risk Assessment for Smart Cities
Innovation for Defence Excellence and Security (IDEaS) Collaborative Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09779706.pdf?arnumber=9779706
Reference64 articles.
1. Mesh Graphormer
2. TGLSTM: A time based graph deep learning approach to gait recognition
3. Artificial Neural Network Based Gait Recognition Using Kinect Sensor
4. Kinect gait skeletal joint feature-based person identification
5. Free-view gait recognition
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