GaitAE: A Cognitive Model-Based Autoencoding Technique for Gait Recognition

GaitAE: A Cognitive Model-Based Autoencoding Technique for Gait Recognition

Gait recognition is a long-distance biometric technique with significant potential for applications in crime prevention, forensic identification, and criminal investigations. Existing gait recognition methods typically introduce specific feature refinement modules on designated models, leading to in...

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Bibliographic Details
Main Authors: Rui Li, Huakang Li, Yidan Qiu, Jinchang Ren, Wing W. Y. Ng, Huimin Zhao
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Mathematics
Subjects:
gait recognition
biologic recognition
autoencoder
deep learning
computer vision
covariate reduction
Online Access:https://www.mdpi.com/2227-7390/12/17/2780

Internet

https://www.mdpi.com/2227-7390/12/17/2780

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