We introduce DeMoCap, the first data-driven approach for end-to-end marker-based MoCap, using only a sparse setup of spatio-temporally aligned, consumer-grade infrared-depth cameras. Trading off some of their typical features, our approach is the sole robust option for far lower-cost marker-...
Optical marker-based motion capture (MoCap) remains the predominant way to acquire high-fidelity articulated body motions. We introduce DeMoCap, the first data-driven approach for end-to-end marker-based MoCap, using only a sparse setup of spatio-temporally aligned, consumer-grade infrared-depth ...
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors In this paper, a marker-based, single-person optical motion capture method (DeepMoCap) is proposed using multiple spatio-temporally aligned infrared-depth sensors and retro-reflective straps and patches (reflector...
we conducted a preliminary experiment on the 8-persons test set of a real-world surveillance dataset, namely Multi-Camera Action Dataset (MCAD) [41]. The height-map based single-stream ConvNet is trained on our synthetic dataset using the ...
A × 63 objective lens with a numeric aperture of 0.9 and a working distance, relative to the applanating cap (TomoCap; Heidelberg Engineering GmbH) of 0.0 to 3.0 mm, is used. The size of each 2-dimensional image produced is 384 × 384 pixels with a 15° × 15° ...
In this article, we design a divide-and-conquer-based MoCapsolving network, dubbed MarkerNet, to estimate human skeleton motions fromsequential raw markers effectively. In a nutshell, our key idea is to decomposethe task of direct solving of global motion from all markers into first modelings...
The motion of the skeletal estimated from skin attached marker-based motion capture(MOCAP) systems is known to be affected by significant bias caused by anatomical landmarks mislocation but especially by soft tissue artifacts (such as skin deformation and sliding, inertial effects and muscle ...
Video-based, markerless, mocap systems are, in some cases, replacing marker-based systems, but hybrid systems are less explored. We develop methods for coregistration between 2D video and 3D marker positions when precise spatial relationships are not known a priori. We illustrate these method...
Marker-less motion capture (MOCAP) systems based on consumer technology simplify the analysis of movements in several research fields such as industry, healthcare and sports. Even if the marker-less MOCAP systems have performances with precision and accuracy lower than the marker-based MOCAP ...
Noise and artifacts are also a problem in markerless, video-based mocap systems, see, e.g., =-=[33]-=- as well as Chapters ??, ??, and ??. In view of such scenarios, it is important to design noise-tolerant similarity measures for the comparison of mocap data. 4 Relational ...