Enhanced spatial-temporal salience for cross-view gait recognition
Gait recognition can be used in person identification and re-identification by itself or in
conjunction with other biometrics. Although gait has both spatial and temporal attributes, and …
conjunction with other biometrics. Although gait has both spatial and temporal attributes, and …
Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods
Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …
through their unique walking style. In the present era of deep learning, automated gait …
GaitSlice: A gait recognition model based on spatio-temporal slice features
H Li, Y Qiu, H Zhao, J Zhan, R Chen, T Wei, Z Huang - Pattern Recognition, 2022 - Elsevier
Improving the performance of gait recognition under multiple camera views (ie, cross-view
gait recognition) and various conditions is urgent. From observation, we find that adjacent …
gait recognition) and various conditions is urgent. From observation, we find that adjacent …
Symmetry-Driven hyper feature GCN for skeleton-based gait recognition
X Liu, Z You, Y He, S Bi, J Wang - Pattern Recognition, 2022 - Elsevier
Gait recognition, as an attractive task in biometrics, remains challenging due to significant
intra-class changes of clothing and pose variations across different cameras. Recent …
intra-class changes of clothing and pose variations across different cameras. Recent …
Gait recognition based on deep learning: a survey
CFG Santos, DDS Oliveira, LA Passos… - arXiv preprint arXiv …, 2022 - arxiv.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
PoseMapGait: A model-based gait recognition method with pose estimation maps and graph convolutional networks
Gait recognition is a particularly effective way to avoid the spread of COVID-19 while people
are under surveillance. Because of its advantages of non-contact and long-distance …
are under surveillance. Because of its advantages of non-contact and long-distance …
GaitFi: Robust device-free human identification via WiFi and vision multimodal learning
As an important biomarker for human identification, human gait can be collected at a
distance by passive sensors without subject cooperation, which plays an essential role in …
distance by passive sensors without subject cooperation, which plays an essential role in …
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 …
A strong and robust skeleton-based gait recognition method with gait periodicity priors
N Li, X Zhao - IEEE Transactions on Multimedia, 2022 - ieeexplore.ieee.org
Gait recognition aims to identify people by their walking patterns. Normal human walking is a
periodic movement, however, existing gait recognition methods rarely make use of gait …
periodic movement, however, existing gait recognition methods rarely make use of gait …
Gait quality aware network: toward the interpretability of silhouette-based gait recognition
Gait recognition receives increasing attention since it can be conducted at a long distance in
a nonintrusive way and applied to the condition of changing clothes. Most existing methods …
a nonintrusive way and applied to the condition of changing clothes. Most existing methods …