Capturing the human figure through a wall
We present RF-Capture, a system that captures the human figure--ie, a coarse skeleton--
through a wall. RF-Capture tracks the 3D positions of a person's limbs and body parts even …
through a wall. RF-Capture tracks the 3D positions of a person's limbs and body parts even …
Robust solving of optical motion capture data by denoising
D Holden - ACM Transactions on Graphics (TOG), 2018 - dl.acm.org
Raw optical motion capture data often includes errors such as occluded markers, mislabeled
markers, and high frequency noise or jitter. Typically these errors must be fixed by hand-an …
markers, and high frequency noise or jitter. Typically these errors must be fixed by hand-an …
Em-pose: 3d human pose estimation from sparse electromagnetic trackers
Fully immersive experiences in AR/VR depend on reconstructing the full body pose of the
user without restricting their motion. In this paper we study the use of body-worn …
user without restricting their motion. In this paper we study the use of body-worn …
Bilinear spatiotemporal basis models
A variety of dynamic objects, such as faces, bodies, and cloth, are represented in computer
graphics as a collection of moving spatial landmarks. Spatiotemporal data is inherent in a …
graphics as a collection of moving spatial landmarks. Spatiotemporal data is inherent in a …
Improved skeleton tracking by duplex kinects: A practical approach for real-time applications
KY Yeung, TH Kwok… - … of Computing and …, 2013 - asmedigitalcollection.asme.org
Recent development of per-frame motion extraction method can generate the skeleton of
human motion in real-time with the help of RGB-D cameras such as Kinect. This leads to an …
human motion in real-time with the help of RGB-D cameras such as Kinect. This leads to an …
Real-time marker prediction and CoR estimation in optical motion capture
A Aristidou, J Lasenby - The Visual Computer, 2013 - Springer
Optical motion capture systems suffer from marker occlusions resulting in loss of useful
information. This paper addresses the problem of real-time joint localisation of legged …
information. This paper addresses the problem of real-time joint localisation of legged …
Mocap-solver: A neural solver for optical motion capture data
In a conventional optical motion capture (MoCap) workflow, two processes are needed to
turn captured raw marker sequences into correct skeletal animation sequences. Firstly …
turn captured raw marker sequences into correct skeletal animation sequences. Firstly …
[HTML][HTML] Gap reconstruction in optical motion capture sequences using neural networks
P Skurowski, M Pawlyta - Sensors, 2021 - mdpi.com
Optical motion capture is a mature contemporary technique for the acquisition of motion
data; alas, it is non-error-free. Due to technical limitations and occlusions of markers, gaps …
data; alas, it is non-error-free. Due to technical limitations and occlusions of markers, gaps …
[HTML][HTML] Exploiting temporal stability and low-rank structure for motion capture data refinement
Inspired by the development of the matrix completion theories and algorithms, a low-rank
based motion capture (mocap) data refinement method has been developed, which has …
based motion capture (mocap) data refinement method has been developed, which has …
A deep recurrent framework for cleaning motion capture data
We present a deep, bidirectional, recurrent framework for cleaning noisy and incomplete
motion capture data. It exploits temporal coherence and joint correlations to infer adaptive …
motion capture data. It exploits temporal coherence and joint correlations to infer adaptive …