Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning
The study of human posture analysis and gait event detection from various types of inputs is
a key contribution to the human life log. With the help of this research and technologies …
a key contribution to the human life log. With the help of this research and technologies …
Detecting human activity types from 3D posture data using deep learning models
A Çalışkan - Biomedical signal processing and control, 2023 - Elsevier
Human action and posture identification are two of the most difficult challenges in
computerized systems. Categorization of these tasks is particularly relevant to the health and …
computerized systems. Categorization of these tasks is particularly relevant to the health and …
Interacting multiple model-based human pose estimation using a distributed 3D camera network
H He, G Liu, X Zhu, L He, G Tian - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Distributed camera network for human pose estimation can solve the problem of limited view
and occlusion of single view, which has great potential for wide area surveillance …
and occlusion of single view, which has great potential for wide area surveillance …
Action and gait recognition from recovered 3-D human joints
J Gu, X Ding, S Wang, Y Wu - IEEE Transactions on Systems …, 2010 - ieeexplore.ieee.org
A common viewpoint-free framework that fuses pose recovery and classification for action
and gait recognition is presented in this paper. First, a markerless pose recovery method is …
and gait recognition is presented in this paper. First, a markerless pose recovery method is …
Kinematics-aware spatial-temporal feature transform for 3D human pose estimation
S Du, Z Yuan, T Ikenaga - Pattern Recognition, 2024 - Elsevier
Abstract 3D human pose estimation plays an important role in various human-machine
interactive applications, but how to effectively extract and represent the kinematical features …
interactive applications, but how to effectively extract and represent the kinematical features …
3D human pose and shape reconstruction from videos via confidence-aware temporal feature aggregation
Estimating 3D human body shapes and poses from videos is a challenging computer vision
task. The intrinsic temporal information embedded in adjacent frames is helpful in making …
task. The intrinsic temporal information embedded in adjacent frames is helpful in making …
JoyPose: Jointly learning evolutionary data augmentation and anatomy-aware global–local representation for 3D human pose estimation
S Du, Z Yuan, P Lai, T Ikenaga - Pattern Recognition, 2024 - Elsevier
Video-based 3D human pose estimation is an important yet challenging task for many
human-involved pattern recognition systems. Existing deep learning-based 3D human pose …
human-involved pattern recognition systems. Existing deep learning-based 3D human pose …
Wearable motion capture: Reconstructing and predicting 3D human poses from wearable sensors
Reconstructing and predicting 3D human walking poses in unconstrained measurement
environments have the potential to use for health monitoring systems for people with …
environments have the potential to use for health monitoring systems for people with …
Bidirectional temporal feature for 3d human pose and shape estimation from a video
L Sun, T Tang, Y Qu, W Qin - Computer Animation and Virtual …, 2023 - Wiley Online Library
Abstract 3D human pose and shape estimation is the foundation of analyzing human motion.
However, estimating accurate and temporally consistent 3D human motion from a video …
However, estimating accurate and temporally consistent 3D human motion from a video …
Learning global pose features in graph convolutional networks for 3d human pose estimation
As the human body skeleton can be represented as a sparse graph, it is natural to exploit
graph convolutional networks (GCNs) to model the articulated body structure for 3D human …
graph convolutional networks (GCNs) to model the articulated body structure for 3D human …