Deep gait recognition: A survey
A Sepas-Moghaddam, A Etemad - IEEE transactions on pattern …, 2022 - ieeexplore.ieee.org
Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …
on the way they walk. Deep learning has reshaped the research landscape in this area …
Deep learning for biometrics: A survey
K Sundararajan, DL Woodard - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …
supervised learning tasks in multiple domains including computer vision, natural language …
Gait recognition in the wild: A benchmark
Gait benchmarks empower the research community to train and evaluate high-performance
gait recognition systems. Even though growing efforts have been devoted to cross-view …
gait recognition systems. Even though growing efforts have been devoted to cross-view …
Gaitpart: Temporal part-based model for gait recognition
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 …
the most promising video-based biometric technologies. At present, most gait recognition …
Gait recognition via effective global-local feature representation and local temporal aggregation
Gait recognition is one of the most important biometric technologies and has been applied in
many fields. Recent gait recognition frameworks represent each gait frame by descriptors …
many fields. Recent gait recognition frameworks represent each gait frame by descriptors …
Context-sensitive temporal feature learning for gait recognition
Although gait recognition has drawn increasing research attention recently, it remains
challenging to learn discriminative temporal representation since the silhouette differences …
challenging to learn discriminative temporal representation since the silhouette differences …
Gaitgraph: Graph convolutional network for skeleton-based gait recognition
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 …
patterns from a long distance. At present, most gait recognition methods use silhouette …
Gaitset: Regarding gait as a set for cross-view gait recognition
As a unique biometric feature that can be recognized at a distance, gait has broad
applications in crime prevention, forensic identification and social security. To portray a gait …
applications in crime prevention, forensic identification and social security. To portray a gait …
GaitSet: Cross-view gait recognition through utilizing gait as a deep set
Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad
applications in crime prevention, forensic identification, and social security. To portray a gait …
applications in crime prevention, forensic identification, and social security. To portray a gait …
3d local convolutional neural networks for gait recognition
The goal of gait recognition is to learn the unique spatio-temporal pattern about the human
body shape from its temporal changing characteristics. As different body parts behave …
body shape from its temporal changing characteristics. As different body parts behave …