[HTML][HTML] Action recognition using kinematics posture feature on 3D skeleton joint locations
Action recognition is a very widely explored research area in computer vision and related
fields. We propose Kinematics Posture Feature (KPF) extraction from 3D joint positions …
fields. We propose Kinematics Posture Feature (KPF) extraction from 3D joint positions …
A robust and efficient method for skeleton‐based human action recognition and its application for cross‐dataset evaluation
Skeleton‐based human action recognition has emerged recently thanks to its compactness
and robustness to appearance variations. Although impressive results have been obtained …
and robustness to appearance variations. Although impressive results have been obtained …
A convolutional autoencoder model with weighted multi-scale attention modules for 3D skeleton-based action recognition
The 3D skeleton sequences of action can be recognized based on series of meaningful
movements including changes in the direction and geometry features of the body pose. In …
movements including changes in the direction and geometry features of the body pose. In …
Vision and sensor-based human activity recognition: challenges ahead
MAR Ahad - Advancements in instrumentation and control in …, 2020 - igi-global.com
Human action or activity or behavior analysis, recognition, and understanding are very
important research areas in the field of computer vison, internet of things (IoT) sensor-based …
important research areas in the field of computer vison, internet of things (IoT) sensor-based …
Human action recognition based on integrating body pose, part shape, and motion
H El-Ghaish, ME Hussien, A Shoukry, R Onai - IEEE Access, 2018 - ieeexplore.ieee.org
Human action recognition is a challenging problem, especially in the presence of multiple
actors in the scene and/or viewpoint variations. In this paper, three modalities, namely, 3-D …
actors in the scene and/or viewpoint variations. In this paper, three modalities, namely, 3-D …
Adaptive most joint selection and covariance descriptions for a robust skeleton-based human action recognition
In this paper, we propose two effective manners of utilizing skeleton data for human action
recognition (HAR). The proposed method on one hand takes advantage of the skeleton data …
recognition (HAR). The proposed method on one hand takes advantage of the skeleton data …
Novel skeleton-based action recognition using covariance descriptors on most informative joints
Human action recognition has attracted much attention of research community in recent
years due to its large application domain such as human-robot interaction, gaming …
years due to its large application domain such as human-robot interaction, gaming …
[PDF][PDF] Vector machine learning models for human gesture recognition
Human gesture recognition is a complex yet critical task in the field of computer vision,
driven by advancements in motion-capture technology and the availability of devices like …
driven by advancements in motion-capture technology and the availability of devices like …
Spatio-temporal representation for skeleton-based human action recognition
In recent years, human action recognition (HAR) has found its ways in a diverse range of
applications such as video surveillance, gaming and robotics. Input data for HAR come from …
applications such as video surveillance, gaming and robotics. Input data for HAR come from …
Depth-based human action recognition using histogram of templates
M Younsi, S Yesli, M Diaf - Multimedia Tools and Applications, 2024 - Springer
In this paper, we propose an efficient, fast, and easy-to-implement method for recognizing
human actions in depth image sequences. In this method, the human body silhouettes are …
human actions in depth image sequences. In this method, the human body silhouettes are …