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A general pose estimation algorithm in a multi-Kinect system

Li,S, Pathirana,PN and Bonacci,J 2014, A general pose estimation algorithm in a multi-Kinect system, in Proceedings of the 7th International Conference on Information and Automation for Sustainability: Sharpening the Future with Sustainable Technology; ICIAfS 2014, IEEE, Piscataway, NJ, pp. 1-5.

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Title A general pose estimation algorithm in a multi-Kinect system
Author(s) Li,S
Pathirana,PNORCID iD for Pathirana,PN orcid.org/0000-0001-8014-7798
Bonacci,JORCID iD for Bonacci,J orcid.org/0000-0002-4333-3214
Conference name Information and Automation for Sustainability Conference (7th : 2014 : Colombo, Sri Lanka)
Conference location Colombo, Sri Lanka
Conference dates 22-24 Dec. 2014
Title of proceedings Proceedings of the 7th International Conference on Information and Automation for Sustainability: Sharpening the Future with Sustainable Technology; ICIAfS 2014
Publication date 2014
Conference series International Conference on Information and Automation for Sustainability (ICIAfS)
Start page 1
End page 5
Total pages 5
Publisher IEEE
Place of publication Piscataway, NJ
Summary  Microsoft Kinect which has been primarily aimed at the computer gaming industry has been used in bio-kinematic research related implementations. A multi-Kinect system can be useful in exploiting spatial diversity to increase measurement accuracy. One of the main problems in deploying multi-Kinect systems is to estimate the pose, including the position and orientation of each Kinect. In this paper, a singular value decomposition (SVD) least-squares algorithm is extended to a more generic time-series based approach to solve this pose estimation problem utilising 3D positions of one or more joints in skeletons obtained from a multi-Kinect system. Additionally, computer simulations are performed to demonstrate the use and to evaluate the efficiency of the proposed algorithm. The former is further validated with a commercial Vicon system.
ISBN 9781479945986
Language eng
Field of Research 090302 Biomechanical Engineering
090305 Rehabilitation Engineering
090602 Control Systems, Robotics and Automation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071913

Document type: Conference Paper
Collection: School of Engineering
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