Name
Title | ||
|---|---|---|
Real-time collection and analysis of 3-Kinect v2 skeleton data in a single application. |
Abstract | ||
|---|---|---|
It was not possible to do reliable 3D skeletal tracking with the currently publicly available inexpensive consumer grade hardware/software tools, such as depth cameras and their SDKs using multiple of such sensors in a single application (e.g., a game, motion recording for animation, or 3D scanning). We successfully attached 3 Kinect v2 sensors to a single application to track skeletal data without using Microsoft's Kinect 2 SDK. We created a new toolkit -- MultiCamTk++ for 3 or more Kinects v2 with skeleton support in C++. It is a successor of our previous version, MultiCamTk, done in Processing/Java that had no skeletal tracking. We achieve high resiliency and good frame rate even if 1--2 Kinects are disconnected at runtime. We are able to receive the skeleton data from the multiple sources to correlate the coordinates for spatial 3D user tracking. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2945078.2945131 | SIGGRAPH Posters |
Field | DocType | Citations |
Computer vision,Motion capture,Computer graphics (images),Computer science,Software,Frame rate,Animation,Artificial intelligence,Java,OpenGL | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serguei A. Mokhov | 1 | 526 | 70.17 |
| Miao Song | 2 | 149 | 28.78 |
| Jonathan Llewellyn | 3 | 0 | 0.34 |
| Jie Zhang | 4 | 47 | 15.01 |
| Alexander Charette | 5 | 0 | 0.34 |
| Ruofan Wu | 6 | 1 | 1.03 |
| Shuiying Ge | 7 | 0 | 0.34 |