Gait recognition is a promising biometric with unique properties for identifying individuals
from a long distance by their walking patterns. In recent years, most gait recognition methods …

Gait recognition is a promising video-based biometric for identifying individual walking
patterns from a long distance. At present, most gait recognition methods use silhouette …

Recent works on pose-based gait recognition have demonstrated the potential of using such
simple information to achieve results comparable to silhouette-based methods. However …

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 …

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 …

We propose an end-to-end model-based cross-view gait recognition which employs pose
sequences and shapes extracted by human model fitting. Specifically, we consider a …

Skeleton‐based gait recognition models suffer from the robustness problem, as the rank‐1
accuracy varies from 90% in normal walking cases to 70% in walking with coats cases. In …

Gait recognition captures gait patterns from the walking sequence of an individual for
identification. Most existing gait recognition methods learn features from silhouettes or …

Gait recognition, applied to identify individual walking patterns in a long-distance, is one of
the most promising video-based biometric technologies. At present, most gait recognition …

Gait, the walking pattern of individuals, is one of the most important biometrics modalities.
Most of the existing gait recognition methods take silhouettes or articulated body models as …