Deep gait recognition: A survey
A Sepas-Moghaddam, A Etemad - IEEE transactions on pattern …, 2022 - ieeexplore.ieee.org
Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …
on the way they walk. Deep learning has reshaped the research landscape in this area …
A comprehensive survey on deep gait recognition: algorithms, datasets and challenges
Gait recognition aims at identifying a person at a distance through visual cameras. With the
emergence of deep learning, significant advancements in gait recognition have achieved …
emergence of deep learning, significant advancements in gait recognition have achieved …
Context-sensitive temporal feature learning for gait recognition
Although gait recognition has drawn increasing research attention recently, it remains
challenging to learn discriminative temporal representation since the silhouette differences …
challenging to learn discriminative temporal representation since the silhouette differences …
3d local convolutional neural networks for gait recognition
The goal of gait recognition is to learn the unique spatio-temporal pattern about the human
body shape from its temporal changing characteristics. As different body parts behave …
body shape from its temporal changing characteristics. As different body parts behave …
Gaitgci: Generative counterfactual intervention for gait recognition
Gait is one of the most promising biometrics that aims to identify pedestrians from their
walking patterns. However, prevailing methods are susceptible to confounders, resulting in …
walking patterns. However, prevailing methods are susceptible to confounders, resulting in …
Gaitedge: Beyond plain end-to-end gait recognition for better practicality
Gait is one of the most promising biometrics to identify individuals at a long distance.
Although most previous methods have focused on recognizing the silhouettes, several end …
Although most previous methods have focused on recognizing the silhouettes, several end …
Lidargait: Benchmarking 3d gait recognition with point clouds
Video-based gait recognition has achieved impressive results in constrained scenarios.
However, visual cameras neglect human 3D structure information, which limits the feasibility …
However, visual cameras neglect human 3D structure information, which limits the feasibility …
Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches
The study of gait recognition, a biometric application that identifies individuals based on their
unique walking patterns, is an evolving field. In this paper, we conduct a literature review to …
unique walking patterns, is an evolving field. In this paper, we conduct a literature review to …
Occlusion-aware human mesh model-based gait recognition
Partial occlusion of the human body caused by obstacles or a limited camera field of view
often occurs in surveillance videos, which affects the performance of gait recognition in …
often occurs in surveillance videos, which affects the performance of gait recognition in …
A secure authentication framework to guarantee the traceability of avatars in metaverse
K Yang, Z Zhang, T Youliang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Metaverse is a vast virtual environment parallel to the physical world in which users enjoy a
variety of services acting as an avatar. To build a secure living habitat, it's vital to ensure the …
variety of services acting as an avatar. To build a secure living habitat, it's vital to ensure the …