Improved gait recognition based on specialized deep convolutional neural network
M Alotaibi, A Mahmood - Computer Vision and Image Understanding, 2017 - Elsevier
Gait recognition is a biometric technique used in determining the identity of humans based
on the style and the manner of their walk. Its performance is often degraded by covariate …
on the style and the manner of their walk. Its performance is often degraded by covariate …
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 …
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 …
Pose‐based deep gait recognition
A Sokolova, A Konushin - IET Biometrics, 2019 - Wiley Online Library
Human gait or walking manner is a biometric feature that allows identification of a person
when other biometric features such as the face or iris are not visible. In this study, the …
when other biometric features such as the face or iris are not visible. In this study, the …
Gait recognition using multichannel convolution neural networks
Human gait recognition has a wide range of applications in multiple fields, such as video
surveillance, digital security, and forensics. In this paper, we investigate the challenging …
surveillance, digital security, and forensics. In this paper, we investigate the challenging …
Gait-CNN-ViT: Multi-model gait recognition with convolutional neural networks and vision transformer
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 …
be difficult because walking styles can be influenced by external factors such as clothing …
Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review
This paper presents a comprehensive exposition of deep learning architectures and
pipelines for biometric applications using complex characteristics of human gait. The variety …
pipelines for biometric applications using complex characteristics of human gait. The variety …
Gaitnet: An end-to-end network for gait based human identification
Gait recognition is one of the most important techniques for human identification at a
distance. Most current gait recognition frameworks consist of several separate steps …
distance. Most current gait recognition frameworks consist of several separate steps …
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 …