Learning efficient spatial-temporal gait features with deep learning for human identification
The integration of the latest breakthroughs in bioinformatics technology from one side and
artificial intelligence from another side, enables remarkable advances in the fields of …
artificial intelligence from another side, enables remarkable advances in the fields of …
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 …
Gait-based human identification by combining shallow convolutional neural network-stacked long short-term memory and deep convolutional neural network
G Batchuluun, HS Yoon, JK Kang, KR Park - IEEE Access, 2018 - ieeexplore.ieee.org
Human identification using camera-based surveillance systems is a challenging research
topic, especially in cases where the human face is not visible to cameras and/or when …
topic, especially in cases where the human face is not visible to cameras and/or when …
Robust gait recognition based on deep cnns with camera and radar sensor fusion
In recent years, gait recognition has emerged as an important and promising solution for
human identification. Generally, gait recognition is based on a single type of sensor, such as …
human identification. Generally, gait recognition is based on a single type of sensor, such as …
A comprehensive study on cross-view gait based human identification with deep cnns
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 …
deep convolutional neural networks (CNNs). With a pretty small group of labeled multi-view …
Human gait recognition based on frame-by-frame gait energy images and convolutional long short-term memory
Human gait recognition is one of the most promising biometric technologies, especially for
unobtrusive video surveillance and human identification from a distance. Aiming at …
unobtrusive video surveillance and human identification from a distance. Aiming at …
Siamese neural network based gait recognition for human identification
As the remarkable characteristics of remote accessed, robust and security, gait recognition
has gained significant attention in the biometrics based human identification task. However …
has gained significant attention in the biometrics based human identification task. However …
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 …
as suitable for human identification at a long distance, requiring no contact and hard to …
Learning 3D spatiotemporal gait feature by convolutional network for person identification
For person identification in non-interaction biometric systems, gait recognition has been
recently encouraged in literature and industrial applications instead of face recognition …
recently encouraged in literature and industrial applications instead of face recognition …
Deep learning-based gait recognition using smartphones in the wild
Compared to other biometrics, gait is difficult to conceal and has the advantage of being
unobtrusive. Inertial sensors, such as accelerometers and gyroscopes, are often used to …
unobtrusive. Inertial sensors, such as accelerometers and gyroscopes, are often used to …