A general pose estimation algorithm in a multi-Kinect system
Data(s) |
01/01/2014
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30071913/li-ageneralposeest-evid-2014.pdf http://dro.deakin.edu.au/eserv/DU:30071913/li-generalposeest-2014.pdf http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7057698 |
Direitos |
2014, IEEE |
Tipo |
Conference Paper |