Two-branch 3D convolution neural network for gait recognition
H Huang, Y Zhang, Y Si, J Wang, D He - Signal, Image and Video …, 2023 - Springer
Gait recognition is one of the essential biometric technologies. It is widely used in security
surveillance and other fields. The key to gait recognition is to extract robust spatio-temporal …
surveillance and other fields. The key to gait recognition is to extract robust spatio-temporal …
Gait recognition with multiple-temporal-scale 3d convolutional neural network
Gait recognition which is one of the most important and effective biometric technologies has
a significant advantage in long-distance recognition systems. For existing gait recognition …
a significant advantage in long-distance recognition systems. For existing gait recognition …
Reinforcing Spatiotemporal Correlation: Learning Comprehensive Feature Representations for Gait Recognition
Gait recognition attracts extensive attention as biotechnology for identifying subjects from a
distance without their cooperation. Since gait is not easily camouflaged and successive …
distance without their cooperation. Since gait is not easily camouflaged and successive …
LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural Network for Gait Recognition
Gait recognition is gaining attention as an emerging biotechnology for identifying subjects
from a remote distance. Existing works have confirmed that modeling the motion trajectory of …
from a remote distance. Existing works have confirmed that modeling the motion trajectory of …
Multi-scale temporal information extractor for gait recognition
Gait recognition is one of the most important biometric technologies and 3D convolutional
neural networks (CNNs) has achieved great success in this field. However, most existing …
neural networks (CNNs) has achieved great success in this field. However, most existing …
Gait Recognition based on Region Segmentation and Non-local Feature Extraction
S Jin, H Yang, H Zhang, J Wei - 2023 IEEE 6th Information …, 2023 - ieeexplore.ieee.org
To solve the problem that the existing gait feature extraction models are easily disturbed by
external factors such as clothing and backpacks, and ignore the strong correlation between …
external factors such as clothing and backpacks, and ignore the strong correlation between …
A multi-view gait recognition method using deep convolutional neural network and channel attention mechanism
J Wang, K Peng - Computer Modeling in Engineering & …, 2020 - ingentaconnect.com
In many existing multi-view gait recognition methods based on images or video sequences,
gait sequences are usually used to superimpose and synthesize images and construct …
gait sequences are usually used to superimpose and synthesize images and construct …
Gait-DenseNet: A Hybrid Convolutional Neural Network for Gait Recognition.
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 …
and lower limbs of the body. In gait recognition, the human appearance changes are taken …
Multi‐branch angle aware spatial temporal graph convolutional neural network for model‐based gait recognition
Abstract Model‐based gait recognition with skeleton data input has attracted more attention
in recent years. The model‐based gait recognition methods take skeletons constructed by …
in recent years. The model‐based gait recognition methods take skeletons constructed by …
Gait lateral network: Learning discriminative and compact representations for gait recognition
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 …
conducted at a long distance without the cooperation of subjects. A key challenge for gait …