“Real-time Collection and Analysis of 3-Kinect v2 Skeleton Data in a Single Application” by Mokhov, Song, Llewellyn, Zhang, Charette, et al. …
Conference:
Type(s):
Entry Number: 81
Title:
- Real-time Collection and Analysis of 3-Kinect v2 Skeleton Data in a Single Application
Presenter(s)/Author(s):
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.
Keyword(s):
- motion capture
- real-time
- 3D sekeletal tracking
- OpenGL
- OpenCV
- frameworks
- multi Kinect v2
- libfreenect2
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