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A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets, and Challenges
Gait recognition aims to identify a person at a distance, serving as a promising solution for
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …
Opengait: Revisiting gait recognition towards better practicality
Gait recognition is one of the most critical long-distance identification technologies and
increasingly gains popularity in both research and industry communities. Despite the …
increasingly gains popularity in both research and industry communities. Despite the …
Gaitgci: Generative counterfactual intervention for gait recognition
Gait is one of the most promising biometrics that aims to identify pedestrians from their
walking patterns. However, prevailing methods are susceptible to confounders, resulting in …
walking patterns. However, prevailing methods are susceptible to confounders, resulting in …
Dynamic aggregated network for gait recognition
Gait recognition is beneficial for a variety of applications, including video surveillance, crime
scene investigation, and social security, to mention a few. However, gait recognition often …
scene investigation, and social security, to mention a few. However, gait recognition often …
Biggait: Learning gait representation you want by large vision models
Gait recognition stands as one of the most pivotal remote identification technologies and
progressively expands across research and industry communities. However existing gait …
progressively expands across research and industry communities. However existing gait …
Lagrange motion analysis and view embeddings for improved gait recognition
Gait is considered the walking pattern of human body, which includes both shape and
motion cues. However, the main-stream appearance-based methods for gait recognition rely …
motion cues. However, the main-stream appearance-based methods for gait recognition rely …
Fine-grained unsupervised domain adaptation for gait recognition
Gait recognition has emerged as a promising technique for the long-range retrieval of
pedestrians, providing numerous advantages such as accurate identification in challenging …
pedestrians, providing numerous advantages such as accurate identification in challenging …
HGRBOL2: human gait recognition for biometric application using Bayesian optimization and extreme learning machine
The goal of gait recognition is to identify a person from a distance based on their walking
style using a visual camera. However, the covariates such as a walk with carrying a bag and …
style using a visual camera. However, the covariates such as a walk with carrying a bag and …
Occlusion-aware human mesh model-based gait recognition
Partial occlusion of the human body caused by obstacles or a limited camera field of view
often occurs in surveillance videos, which affects the performance of gait recognition in …
often occurs in surveillance videos, which affects the performance of gait recognition in …
Metagait: Learning to learn an omni sample adaptive representation for gait recognition
Gait recognition, which aims at identifying individuals by their walking patterns, has recently
drawn increasing research attention. However, gait recognition still suffers from the conflicts …
drawn increasing research attention. However, gait recognition still suffers from the conflicts …