Deep learning-based human pose estimation: A survey
Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning
Quantitative behavioral measurements are important for answering questions across
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …
Learning motion priors for 4d human body capture in 3d scenes
Recovering high-quality 3D human motion in complex scenes from monocular videos is
important for many applications, ranging from AR/VR to robotics. However, capturing …
important for many applications, ranging from AR/VR to robotics. However, capturing …
Egobody: Human body shape and motion of interacting people from head-mounted devices
Understanding social interactions from egocentric views is crucial for many applications,
ranging from assistive robotics to AR/VR. Key to reasoning about interactions is to …
ranging from assistive robotics to AR/VR. Key to reasoning about interactions is to …
Motion capture from internet videos
Recent advances in image-based human pose estimation make it possible to capture 3D
human motion from a single RGB video. However, the inherent depth ambiguity and self …
human motion from a single RGB video. However, the inherent depth ambiguity and self …
3-D motion trajectory measurement for the target through a multi-UAVs system
High-accuracy and contactless measurement for the 3-D motion trajectory of the target is a
challenging problem in photogrammetry. Our research proposes a measurement approach …
challenging problem in photogrammetry. Our research proposes a measurement approach …
Artificial Intelligence-Assisted motion capture for medical applications: a comparative study between markerless and passive marker motion capture
I Takeda, A Yamada, H Onodera - Computer methods in …, 2021 - Taylor & Francis
We aimed to determine whether artificial intelligence (AI)-assisted markerless motion
capture software is useful in the clinical medicine and rehabilitation fields. Currently, it is …
capture software is useful in the clinical medicine and rehabilitation fields. Currently, it is …
Fusion poser: 3D human pose estimation using sparse IMUs and head trackers in real time
M Kim, S Lee - Sensors, 2022 - mdpi.com
The motion capture method using sparse inertial sensors is an approach for solving the
occlusion and economic problems in vision-based methods, which is suitable for virtual …
occlusion and economic problems in vision-based methods, which is suitable for virtual …
Airpose: Multi-view fusion network for aerial 3d human pose and shape estimation
In this letter, we present a novel markerless 3D human motion capture (MoCap) system for
unstructured, outdoor environments that uses a team of autonomous unmanned aerial …
unstructured, outdoor environments that uses a team of autonomous unmanned aerial …