Robust gait recognition: a comprehensive survey
Gait recognition has emerged as an attractive biometric technology for the identification of
people by analysing the way they walk. However, one of the main challenges of the …
people by analysing the way they walk. However, one of the main challenges of the …
Vision-based approaches towards person identification using gait
Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …
in the digital era. Gait-based person identification is an emerging biometric modality for …
Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network
W Sheng, X Li - Pattern Recognition, 2021 - Elsevier
Human gait conveys significant information that can be used for identity recognition and
emotion recognition. Recent studies have focused more on gait identity recognition than …
emotion recognition. Recent studies have focused more on gait identity recognition than …
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Human gait recognition (HGR) shows high importance in the area of video surveillance due
to remote access and security threats. HGR is a technique commonly used for the …
to remote access and security threats. HGR is a technique commonly used for the …
Learning effective gait features using LSTM
Human gait is an important biometric feature for person identification in surveillance videos
because it can be collected at a distance without subject cooperation. Most existing gait …
because it can be collected at a distance without subject cooperation. Most existing gait …
An efficient gait recognition method for known and unknown covariate conditions
Gait is a unique non-invasive biometric form that can be utilized to effectively recognize
persons, even when they prove to be uncooperative. Computer-aided gait recognition …
persons, even when they prove to be uncooperative. Computer-aided gait recognition …
A unified perspective of classification-based loss and distance-based loss for cross-view gait recognition
Gait can be used to recognize people in an uncooperative and noninvasive manner and it is
hard to imitate or counterfeit, which makes it suitable for video surveillance. The current …
hard to imitate or counterfeit, which makes it suitable for video surveillance. The current …
Automatic learning of gait signatures for people identification
This work targets people identification in video based on the way they walk (ie gait). While
classical methods typically derive gait signatures from sequences of binary silhouettes, in …
classical methods typically derive gait signatures from sequences of binary silhouettes, in …
[HTML][HTML] Human gait analysis for osteoarthritis prediction: A framework of deep learning and kernel extreme learning machine
Human gait analysis is a novel topic in the field of computer vision with many famous
applications like prediction of osteoarthritis and patient surveillance. In this application, the …
applications like prediction of osteoarthritis and patient surveillance. In this application, the …
SpiderNet: A spiderweb graph neural network for multi-view gait recognition
Human gait is a proven biometric trait with applications in security for authentication and
disease diagnosis. However, it is one-sided to express and interpret gait data from a single …
disease diagnosis. However, it is one-sided to express and interpret gait data from a single …