Gait Attribute Recognition: A New Benchmark for Learning Richer Attributes From Human Gait Patterns-Reference-Cited by-同舟云学术

Gait Attribute Recognition: A New Benchmark for Learning Richer Attributes From Human Gait Patterns

Published:2024 Issue: Volume:19 Page:1-14
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Song Xu¹,Hou Saihui²^ORCID,Huang Yan³^ORCID,Cao Chunshui⁴^ORCID,Liu Xu⁴^ORCID,Huang Yongzhen²^ORCID,Shan Caifeng¹^ORCID

Affiliation:

1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China

2. School of Artificial Intelligence, Beijing Normal University, Beijing, China

3. National Laboratory of Pattern Recognition, the Center for Research on Intelligent Perception and Computing, the Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China

4. Watrix Technology Company Ltd., Beijing, China

Funder

National Natural Science Foundation of China

Shenzhen Technology Plan Program

Talent Introduction Program for Youth Innovation Teams of Shandong Province

Fellowship of China Post-Doctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10262050.pdf?arnumber=10262050

Reference64 articles.

1. Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network

2. Multi-human Parsing with a Graph-based Generative Adversarial Model

3. Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping

4. Fine-Grained Multi-human Parsing

5. Estimation of Gait Relative Attribute Distributions using a Differentiable Trade-off Model of Optimal and Uniform Transports