Robust gait recognition based on deep cnns with camera and radar sensor fusion
In recent years, gait recognition has emerged as an important and promising solution for
human identification. Generally, gait recognition is based on a single type of sensor, such as …
human identification. Generally, gait recognition is based on a single type of sensor, such as …
Human gait recognition based on frame-by-frame gait energy images and convolutional long short-term memory
Human gait recognition is one of the most promising biometric technologies, especially for
unobtrusive video surveillance and human identification from a distance. Aiming at …
unobtrusive video surveillance and human identification from a distance. Aiming at …
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 …
Learning efficient spatial-temporal gait features with deep learning for human identification
The integration of the latest breakthroughs in bioinformatics technology from one side and
artificial intelligence from another side, enables remarkable advances in the fields of …
artificial intelligence from another side, enables remarkable advances in the fields of …
A fusion-assisted multi-stream deep learning and ESO-controlled newton–raphson-based feature selection approach for human gait recognition
F Jahangir, MA Khan, M Alhaisoni, A Alqahtani… - Sensors, 2023 - mdpi.com
The performance of human gait recognition (HGR) is affected by the partial obstruction of the
human body caused by the limited field of view in video surveillance. The traditional method …
human body caused by the limited field of view in video surveillance. The traditional method …
Multi-view gait recognition system using spatio-temporal features and deep learning
Abstract Systems based on physiological biometrics are ubiquitous but requires subject
cooperation or high resolution to capture. Gait recognition is a great avenue for identification …
cooperation or high resolution to capture. Gait recognition is a great avenue for identification …
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 …
A comprehensive survey on deep gait recognition: algorithms, datasets and challenges
Gait recognition aims at identifying a person at a distance through visual cameras. With the
emergence of deep learning, significant advancements in gait recognition have achieved …
emergence of deep learning, significant advancements in gait recognition have achieved …
View-invariant gait recognition with attentive recurrent learning of partial representations
A Sepas-Moghaddam, A Etemad - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Gait recognition refers to the identification of individuals based on features acquired from
their body movement during walking. Despite the recent advances in gait recognition with …
their body movement during walking. Despite the recent advances in gait recognition with …
DeepGait: A learning deep convolutional representation for view-invariant gait recognition using joint Bayesian
Human gait, as a soft biometric, helps to recognize people through their walking. To further
improve the recognition performance, we propose a novel video sensor-based gait …
improve the recognition performance, we propose a novel video sensor-based gait …