Search
Search Results
-
Deep multi-convolutional stacked capsule network fostered human gait recognition from enhanced gait energy image
Gait recognition is a well-known biometric identification technology and is widely employed in different fields. Due to the advantages of deep...
-
Human gait recognition: A systematic review
A biometric system is a technology that utilizes an individual’s unique physiological and behavioral characteristics to identify and authenticate...
-
A survey of appearance-based approaches for human gait recognition: techniques, challenges, and future directions
Gait recognition has become an important biometric feature for human identification, in addition to data such as face, iris, and fingerprint. The...
-
Exploiting skeleton-based gait events with attention-guided residual deep learning model for human identification
Human identification using unobtrusive visual features is a daunting task in smart environments. Gait is among adequate biometric features when the...
-
Human identification based on Gait Manifold
Gait-based pedestrian identification has important applications in intelligent surveillance. From anatomical viewpoint, the physical uniqueness of...
-
Affective-pose gait: perceiving emotions from gaits with body pose and human affective prior knowledge
As a non-verbal biometric method that can be perceived emotion at a distance, gait has broad applications in affective computing. To perceive...
-
Gait recognition based on 3D human body reconstruction and multi-granular feature fusion
Gait recognition is a crucial video-based biometric approach that allows for the identification of pedestrians from the motion of their walk over a...
-
HGANet-23: a novel architecture for human gait analysis based on deep neural network and improved satin bowerbird optimization
Human gait is an essential biometric feature in the area of computer vision research. Over the past ten years, there has been a growing demand for a...
-
Gait Recognition Based on Temporal Gait Information Enhancing
Gait recognition is a long range biometric technology that identifies individuals by their walking patterns. Currently, gait recognition primarily...
-
Human Gait Recognition Based on Frontal-View Walking Sequences Using Multi-modal Feature Representations and Learning
Despite that much progress has been reported in gait recognition, most of these existing works adopt lateral-view parameters as gait features, which...
-
FCML-gait: fog computing and machine learning inspired human identity and gender recognition using gait sequences
Security threats are always there if the human intruders are not identified and recognized well in time in highly security-sensitive environments...
-
Multimodal Human Pose Feature Fusion for Gait Recognition
Gait recognition allows identifying people at a distance based on the way they walk (i.e. gait) in a non-invasive approach. Most of the approaches...
-
Fog cloud-assisted IoT-based human identification in construction sites from gait sequences
Human identification on construction sites is critical for minimizing safety mishaps. Existing approaches have shortcomings such as a low recognition...
-
ResGait: gait feature refinement based on residual structure for gait recognition
Gait recognition is a biometric recognition technology, where the goal is to identify the subject by the subject’s walking posture at a distance....
-
Human gait-type recognition without pre-training: an adaptive fuzzy-based approach for locomotion-assistance devices
Gait-type recognition is important for robotic exoskeletons and walking-assistance devices to adjust their output according to the users’ needs....
-
Model-based and model-free deep features fusion for high performed human gait recognition
In the last decade, the need for a non-contact biometric model for recognizing candidates has increased, especially after the pandemic of COVID-19...
-
Robust Gait Recognition Based on Spatio-Temporal Fusion Network
The human gait sequence contains both spatial and temporal information, and the spatial and temporal information are restricted to different degrees...
-
Estimation of lower extremity parameters for marker-less gait analysis
Human gait analysis is a practical approach in medicine and rehabilitation for determining the effect and progression of neurological diseases that...
-
Automatic multi-gait recognition using pedestrian’s spatiotemporal features
This paper presents an automatic technique to detect and track the multiple pedestrians for their identifications in a video sequence. Contrarily to...
-
AdaptiveGait: adaptive feature fusion network for gait recognition
Gait recognition is a biometric approach used to identify people based on their walking patterns at long distances and low resolutions. Most advanced...
