Gait recognition with self-supervised learning of gait features based on vision transformers

D Pinčić, D Sušanj, K Lenac - Sensors, 2022 - mdpi.com
Gait is a unique biometric trait with several useful properties. It can be recognized remotely
and without the cooperation of the individual, with low-resolution cameras, and it is difficult to …

Gait-vit: Gait recognition with vision transformer

JN Mogan, CP Lee, KM Lim, KS Muthu - Sensors, 2022 - mdpi.com
Identifying an individual based on their physical/behavioral characteristics is known as
biometric recognition. Gait is one of the most reliable biometrics due to its advantages, such …

Deep mutual learning network for gait recognition

Y Wang, Z Chen, QMJ Wu, X Rong - Multimedia Tools and Applications, 2020 - Springer
Human identification plays a significant role in ensuring social security. However, face-
based and appearance-based retrieval methods are not effective in monitoring due to the …

Gait-CNN-ViT: Multi-model gait recognition with convolutional neural networks and vision transformer

JN Mogan, CP Lee, KM Lim, M Ali, A Alqahtani - Sensors, 2023 - mdpi.com
Gait recognition, the task of identifying an individual based on their unique walking style, can
be difficult because walking styles can be influenced by external factors such as clothing …

Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning

M Deng, C Wang, F Cheng, W Zeng - Pattern Recognition, 2017 - Elsevier
For obtaining optimal performance, as many informative cues as possible should be
involved in the gait recognition algorithm. This paper describes a gait recognition algorithm …

End-to-end model-based gait recognition

X Li, Y Makihara, C Xu, Y Yagi… - Proceedings of the …, 2020 - openaccess.thecvf.com
Most existing gait recognition approaches adopt a two-step procedure: a preprocessing step
to extract silhouettes or skeletons followed by recognition. In this paper, we propose an end …

Selfgait: A spatiotemporal representation learning method for self-supervised gait recognition

Y Liu, Y Zeng, J Pu, H Shan, P He… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Gait recognition plays a vital role in human identification since gait is a unique biometric
feature that can be perceived at a distance. Although existing gait recognition methods can …

Gait lateral network: Learning discriminative and compact representations for gait recognition

S Hou, C Cao, X Liu, Y Huang - European conference on computer vision, 2020 - Springer
Gait recognition aims at identifying different people by the walking patterns, which can be
conducted at a long distance without the cooperation of subjects. A key challenge for gait …

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 …

CASIA-E: a large comprehensive dataset for gait recognition

C Song, Y Huang, W Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …