A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets, and Challenges

C Shen, S Yu, J Wang, GQ Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Gait recognition aims to identify a person at a distance, serving as a promising solution for
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …

Opengait: Revisiting gait recognition towards better practicality

C Fan, J Liang, C Shen, S Hou… - Proceedings of the …, 2023 - openaccess.thecvf.com
Gait recognition is one of the most critical long-distance identification technologies and
increasingly gains popularity in both research and industry communities. Despite the …

Gaitgci: Generative counterfactual intervention for gait recognition

H Dou, P Zhang, W Su, Y Yu… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Dynamic aggregated network for gait recognition

K Ma, Y Fu, D Zheng, C Cao, X Hu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Gait recognition is beneficial for a variety of applications, including video surveillance, crime
scene investigation, and social security, to mention a few. However, gait recognition often …

Biggait: Learning gait representation you want by large vision models

D Ye, C Fan, J Ma, X Liu, S Yu - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Gait recognition stands as one of the most pivotal remote identification technologies and
progressively expands across research and industry communities. However existing gait …

Lagrange motion analysis and view embeddings for improved gait recognition

T Chai, A Li, S Zhang, Z Li… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
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 …

Fine-grained unsupervised domain adaptation for gait recognition

K Ma, Y Fu, D Zheng, Y Peng… - Proceedings of the …, 2023 - openaccess.thecvf.com
Gait recognition has emerged as a promising technique for the long-range retrieval of
pedestrians, providing numerous advantages such as accurate identification in challenging …

HGRBOL2: human gait recognition for biometric application using Bayesian optimization and extreme learning machine

MA Khan, H Arshad, WZ Khan, M Alhaisoni… - Future Generation …, 2023 - Elsevier
The goal of gait recognition is to identify a person from a distance based on their walking
style using a visual camera. However, the covariates such as a walk with carrying a bag and …

Occlusion-aware human mesh model-based gait recognition

C Xu, Y Makihara, X Li, Y Yagi - IEEE transactions on …, 2023 - ieeexplore.ieee.org
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 …

Metagait: Learning to learn an omni sample adaptive representation for gait recognition

H Dou, P Zhang, W Su, Y Yu, X Li - European Conference on Computer …, 2022 - Springer
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 …