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 …

Machine and deep learning for resource allocation in multi-access edge computing: A survey

H Djigal, J Xu, L Liu, Y Zhang - IEEE Communications Surveys …, 2022 - ieeexplore.ieee.org
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

Clothes-changing person re-identification with rgb modality only

X Gu, H Chang, B Ma, S Bai… - Proceedings of the …, 2022 - openaccess.thecvf.com
The key to address clothes-changing person re-identification (re-id) is to extract clothes-
irrelevant features, eg, face, hairstyle, body shape, and gait. Most current works mainly focus …

Gait recognition in the wild with dense 3d representations and a benchmark

J Zheng, X Liu, W Liu, L He… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

Bottom-up human pose estimation via disentangled keypoint regression

Z Geng, K Sun, B **ao, Z Zhang… - Proceedings of the …, 2021 - openaccess.thecvf.com
In this paper, we are interested in the bottom-up paradigm of estimating human poses from
an image. We study the dense keypoint regression framework that is previously inferior to …

Gaitpart: Temporal part-based model for gait recognition

C Fan, Y Peng, C Cao, X Liu, S Hou… - Proceedings of the …, 2020 - openaccess.thecvf.com
Gait recognition, applied to identify individual walking patterns in a long-distance, is one of
the most promising video-based biometric technologies. At present, most gait recognition …

Gait recognition in the wild: A benchmark

Z Zhu, X Guo, T Yang, J Huang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Gait benchmarks empower the research community to train and evaluate high-performance
gait recognition systems. Even though growing efforts have been devoted to cross-view …

An in-depth exploration of person re-identification and gait recognition in cloth-changing conditions

W Li, S Hou, C Zhang, C Cao, X Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
The target of person re-identification (ReID) and gait recognition is consistent, that is to
match the target pedestrian under surveillance cameras. For the cloth-changing problem …

Towards a deeper understanding of skeleton-based gait recognition

T Teepe, J Gilg, F Herzog… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

Context-sensitive temporal feature learning for gait recognition

X Huang, D Zhu, H Wang, X Wang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Although gait recognition has drawn increasing research attention recently, it remains
challenging to learn discriminative temporal representation since the silhouette differences …