A survey on video-based human action recognition: recent updates, datasets, challenges, and applications
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
Vision-based gait recognition: A survey
In the digital world of today, global security issues have given rise to video surveillance
devices. Gait-based human recognition is an emerging behavioral biometric trait for …
devices. Gait-based human recognition is an emerging behavioral biometric trait for …
Two-dimensional video-based analysis of human gait using pose estimation
Human gait analysis is often conducted in clinical and basic research, but many common
approaches (eg, three-dimensional motion capture, wearables) are expensive, immobile …
approaches (eg, three-dimensional motion capture, wearables) are expensive, immobile …
Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review
This paper presents a comprehensive exposition of deep learning architectures and
pipelines for biometric applications using complex characteristics of human gait. The variety …
pipelines for biometric applications using complex characteristics of human gait. The variety …
Feature extraction using an RNN autoencoder for skeleton-based abnormal gait recognition
In skeleton-based abnormal gait recognition, using original skeleton data decreases the
recognition performance because they contain noise and irrelevant information. Instead of …
recognition performance because they contain noise and irrelevant information. Instead of …
RGBD datasets: Past, present and future
M Firman - Proceedings of the IEEE conference on computer …, 2016 - cv-foundation.org
Since the launch of the Microsoft Kinect, scores of RGBD datasets have been released.
These have propelled advances in areas from reconstruction to gesture recognition. In this …
These have propelled advances in areas from reconstruction to gesture recognition. In this …
Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods
Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …
through their unique walking style. In the present era of deep learning, automated gait …
Artificial neural network based gait recognition using kinect sensor
ASMH Bari, ML Gavrilova - Ieee Access, 2019 - ieeexplore.ieee.org
Accurate gait recognition is of high significance for numerous industrial and consumer
applications, including video surveillance, virtual reality, on-line games, medical …
applications, including video surveillance, virtual reality, on-line games, medical …
A survey of human-computer interaction (HCI) & natural habits-based behavioural biometric modalities for user recognition schemes
The proliferation of Internet of Things (IoT) systems is having a profound impact across all
aspects of life. Recognising and identifying particular users is central to delivering the …
aspects of life. Recognising and identifying particular users is central to delivering the …
View-invariant gait recognition based on kinect skeleton feature
Gait recognition is a popular remote biometric identification technology. Its robustness
against view variation is one of the challenges in the field of gait recognition. In this paper …
against view variation is one of the challenges in the field of gait recognition. In this paper …