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 …
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors
Motion capture from sparse inertial sensors has shown great potential compared to image-
based approaches since occlusions do not lead to a reduced tracking quality and the …
based approaches since occlusions do not lead to a reduced tracking quality and the …
Gfpose: Learning 3d human pose prior with gradient fields
Learning 3D human pose prior is essential to human-centered AI. Here, we present GFPose,
a versatile framework to model plausible 3D human poses for various applications. At the …
a versatile framework to model plausible 3D human poses for various applications. At the …
Emdb: The electromagnetic database of global 3d human pose and shape in the wild
We present EMDB, the Electromagnetic Database of Global 3D Human Pose and Shape in
the Wild. EMDB is a novel dataset that contains high-quality 3D SMPL pose and shape …
the Wild. EMDB is a novel dataset that contains high-quality 3D SMPL pose and shape …
A review of 3D human pose estimation algorithms for markerless motion capture
Human pose estimation is a very active research field, stimulated by its important
applications in robotics, entertainment or health and sports sciences, among others …
applications in robotics, entertainment or health and sports sciences, among others …
Transformer inertial poser: Real-time human motion reconstruction from sparse imus with simultaneous terrain generation
Real-time human motion reconstruction from a sparse set of (eg six) wearable IMUs
provides a non-intrusive and economic approach to motion capture. Without the ability to …
provides a non-intrusive and economic approach to motion capture. Without the ability to …
Faster voxelpose: Real-time 3d human pose estimation by orthographic projection
While the voxel-based methods have achieved promising results for multi-person 3D pose
estimation from multi-cameras, they suffer from heavy computation burdens, especially for …
estimation from multi-cameras, they suffer from heavy computation burdens, especially for …
Learning analytical posterior probability for human mesh recovery
Despite various probabilistic methods for modeling the uncertainty and ambiguity in human
mesh recovery, their overall precision is limited because existing formulations for joint …
mesh recovery, their overall precision is limited because existing formulations for joint …
Adafuse: Adaptive multiview fusion for accurate human pose estimation in the wild
Occlusion is probably the biggest challenge for human pose estimation in the wild. Typical
solutions often rely on intrusive sensors such as IMUs to detect occluded joints. To make the …
solutions often rely on intrusive sensors such as IMUs to detect occluded joints. To make the …