Gait classification through CNN-based ensemble learning

X Wang, K Yan - Multimedia Tools and Applications, 2021 - Springer
Gait is a biological characteristic for video surveillance and many other applications, which
can be used to identify individuals at a large distance. In this paper, a gait classification …

Gait feature extraction and gait classification using two-branch CNN

X Wang, J Zhang - Multimedia Tools and Applications, 2020 - Springer
As a promising biometric identification method, gait recognition has many advantages, such
as suitable for human identification at a long distance, requiring no contact and hard to …

Gait recognition based on GF-CNN and metric learning

J Wen - Journal of Information Processing Systems, 2020 - koreascience.kr
Gait recognition, as a promising biometric, can be used in video-based surveillance and
other security systems. However, due to the complexity of leg movement and the difference …

A comprehensive study on gait biometrics using a joint CNN-based method

Y Zhang, Y Huang, L Wang, S Yu - Pattern Recognition, 2019 - Elsevier
This paper gives a comprehensive study on gait biometrics via a joint CNN-based method.
Gait is a kind of behavioral biometric feature with unique advantages, eg, long-distance …

Human gait recognition based on frame-by-frame gait energy images and convolutional long short-term memory

X Wang, WQ Yan - International journal of neural systems, 2020 - World Scientific
Human gait recognition is one of the most promising biometric technologies, especially for
unobtrusive video surveillance and human identification from a distance. Aiming at …

Cjam: Convolutional neural network joint attention mechanism in gait recognition

P Jia, Q Zhao, B Li, J Zhang - IEICE TRANSACTIONS on …, 2021 - search.ieice.org
Gait recognition distinguishes one individual from others according to the natural patterns of
human gaits. Gait recognition is a challenging signal processing technology for biometric …

Gait recognition using multichannel convolution neural networks

X Wang, J Zhang, WQ Yan - Neural computing and applications, 2020 - Springer
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 …

A comprehensive study on cross-view gait based human identification with deep cnns

Z Wu, Y Huang, L Wang, X Wang… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper studies an approach to gait based human identification via similarity learning by
deep convolutional neural networks (CNNs). With a pretty small group of labeled multi-view …

Gait-DenseNet: A Hybrid Convolutional Neural Network for Gait Recognition.

JN Mogan, CP Lee… - … Journal of Computer …, 2022 - search.ebscohost.com
Gait is the walking posture of a human, which involves movements of joints at upper limbs
and lower limbs of the body. In gait recognition, the human appearance changes are taken …

Gait recognition under different covariate conditions using deep learning technique

I Junaid, S Ari - 2022 IEEE International Conference on Signal …, 2022 - ieeexplore.ieee.org
Gait as a biometric has become a popular research topic in recent years as a result of its
numerous applications in sectors such as surveillance, authentication, and so on. It is …