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 …
A Faster R-CNN and recurrent neural network based approach of gait recognition with and without carried objects
R Ghosh - Expert Systems with Applications, 2022 - Elsevier
Gait recognition is the identification of any person from his/her walking pattern. Walking
pattern of each individual is unique and cannot be replicated by others. But, gait recognition …
pattern of each individual is unique and cannot be replicated by others. But, gait recognition …
Gaitgl: Learning discriminative global-local feature representations for gait recognition
Existing gait recognition methods either directly establish Global Feature Representation
(GFR) from original gait sequences or generate Local Feature Representation (LFR) from …
(GFR) from original gait sequences or generate Local Feature Representation (LFR) from …
Multi-view large population gait database with human meshes and its performance evaluation
Existing model-based gait databases provide the 2D poses (ie, joint locations) extracted by
general pose estimators as the human model. However, these 2D poses suffer from …
general pose estimators as the human model. However, these 2D poses suffer from …
Emotion recognition from gait analyses: Current research and future directions
Human gait refers to a daily motion that represents not only mobility but can also be used to
identify the walker by either human observers or computers. Recent studies reveal that gait …
identify the walker by either human observers or computers. Recent studies reveal that gait …
Gaitmpl: Gait recognition with memory-augmented progressive learning
Gait recognition aims at identifying the pedestrians at a long distance by their biometric gait
patterns. It is inherently challenging due to the various covariates and the properties of …
patterns. It is inherently challenging due to the various covariates and the properties of …
Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DS Oliveira… - ACM Computing …, 2022 - dl.acm.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 …
Gait recognition with wearable sensors using modified residual block-based lightweight cnn
Gait recognition with wearable sensors is an effective approach to identifying people by
recognizing their distinctive walking patterns. Deep learning-based networks have recently …
recognizing their distinctive walking patterns. Deep learning-based networks have recently …
Gait‐D: skeleton‐based gait feature decomposition for gait recognition
S Gao, J Yun, Y Zhao, L Liu - IET Computer Vision, 2022 - Wiley Online Library
The general silhouette‐based gait recognition methods usually rely on binary human
silhouette, which is easily affected by external factors, making it unsuitable for situations …
silhouette, which is easily affected by external factors, making it unsuitable for situations …
Frame-level refinement networks for skeleton-based gait recognition
L Wang, J Chen, Y Liu - Computer Vision and Image Understanding, 2022 - Elsevier
Gait is considered as a promising biometric feature due to its support for long-distance and
non-contact recognition. Most existing skeleton-based gait recognition methods deliver the …
non-contact recognition. Most existing skeleton-based gait recognition methods deliver the …