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Real-time collection and analysis of 3-Kinect v2 skeleton data in a single application

Authors:

Shuiying GeAuthors Info & Claims

SIGGRAPH '16: ACM SIGGRAPH 2016 Posters

Article No.: 53, Pages 1 - 2

https://doi.org/10.1145/2945078.2945131

Published: 24 July 2016 Publication History

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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.

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Xiang, L., Echtler, F., Kerl, C., Blake, J., et al., 2016. libfreenect2: Release 0.2, Apr. https://github.com/OpenKinect/libfreenect2.

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Pontes HDuarte JPinheiro P(2018)A software library for sign recognition through natural interface devices2018 13th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI.2018.8399280(1-6)Online publication date: Jun-2018
https://doi.org/10.23919/CISTI.2018.8399280
Wu YGao LHoermann SLindeman R(2018)Towards Robust 3D Skeleton Tracking Using Data Fusion from Multiple Depth Sensors2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)10.1109/VS-Games.2018.8493443(1-4)Online publication date: Sep-2018
https://doi.org/10.1109/VS-Games.2018.8493443
Kim W(undefined)몰입형 가상현실을 위한 다중 키넥트 기반 휴대용 전방향 네비게이션 시스템 개발 (Development of a Multiple Kinect Based Portable Omnidirectional Navigation System for Immersive Virtual Reality)SSRN Electronic Journal10.2139/ssrn.3374271
https://doi.org/10.2139/ssrn.3374271

Index Terms

Real-time collection and analysis of 3-Kinect v2 skeleton data in a single application
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
      2. Image and video acquisition
        Motion capture
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Graphics input devices

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SIGGRAPH '16: ACM SIGGRAPH 2016 Posters

July 2016

170 pages

ISBN:9781450343718

DOI:10.1145/2945078

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 24 July 2016

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July 24 - 28, 2016

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Pontes HDuarte JPinheiro P(2018)A software library for sign recognition through natural interface devices2018 13th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI.2018.8399280(1-6)Online publication date: Jun-2018
https://doi.org/10.23919/CISTI.2018.8399280
Wu YGao LHoermann SLindeman R(2018)Towards Robust 3D Skeleton Tracking Using Data Fusion from Multiple Depth Sensors2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)10.1109/VS-Games.2018.8493443(1-4)Online publication date: Sep-2018
https://doi.org/10.1109/VS-Games.2018.8493443
Kim W(undefined)몰입형 가상현실을 위한 다중 키넥트 기반 휴대용 전방향 네비게이션 시스템 개발 (Development of a Multiple Kinect Based Portable Omnidirectional Navigation System for Immersive Virtual Reality)SSRN Electronic Journal10.2139/ssrn.3374271
https://doi.org/10.2139/ssrn.3374271

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Skeleton-based continuous extrinsic calibration of multiple RGB-D kinect cameras

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Skeleton-based continuous extrinsic calibration of multiple RGB-D kinect cameras

Towards real-time insect motion capture

Defining accuracy in the use of Kinect v2 for exercise monitoring

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