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 …
Gait recognition in the wild with dense 3d representations and a benchmark
Existing studies for gait recognition are dominated by 2D representations like the silhouette
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
Towards a deeper understanding of skeleton-based gait recognition
Gait recognition is a promising biometric with unique properties for identifying individuals
from a long distance by their walking patterns. In recent years, most gait recognition methods …
from a long distance by their walking patterns. In recent years, most gait recognition methods …
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 …
A flexible, stretchable and triboelectric smart sensor based on graphene oxide and polyacrylamide hydrogel for high precision gait recognition in Parkinsonian and …
Z Wang, M Bu, K Xiu, J Sun, N Hu, L Zhao, L Gao… - Nano Energy, 2022 - Elsevier
Intelligent gait recognition system plays an important role in the field of identity recognition,
physical training and medical diagnostics. In clinical medicine, no definitive diagnostic tool …
physical training and medical diagnostics. In clinical medicine, no definitive diagnostic tool …
Lagrange motion analysis and view embeddings for improved gait recognition
Gait is considered the walking pattern of human body, which includes both shape and
motion cues. However, the main-stream appearance-based methods for gait recognition rely …
motion cues. However, the main-stream appearance-based methods for gait recognition rely …
[HTML][HTML] A survey of human gait-based artificial intelligence applications
EJ Harris, I Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
CASIA-E: a large comprehensive dataset for gait recognition
Gait recognition plays a special role in visual surveillance due to its unique advantage, eg,
long-distance, cross-view and non-cooperative recognition. However, it has not yet been …
long-distance, cross-view and non-cooperative recognition. However, it has not yet been …
Metagait: Learning to learn an omni sample adaptive representation for gait recognition
Gait recognition, which aims at identifying individuals by their walking patterns, has recently
drawn increasing research attention. However, gait recognition still suffers from the conflicts …
drawn increasing research attention. However, gait recognition still suffers from the conflicts …