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Out of sight : a toolkit for tracking occluded human joint positions

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Wu_2016_OutOfSight_PUC_CC.pdf (903.2Kb)
Date
02/2017
Author
Wu, Chi-Jui
Quigley, Aaron John
Harris-Birtill, David Cameron Christopher
Keywords
Kinect
Occlusion
Toolkit
QA75 Electronic computers. Computer science
TA Engineering (General). Civil engineering (General)
DAS
BDC
R2C
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Abstract
Real-time identification and tracking of the joint positions of people can be achieved with off-the-shelf sensing technologies such as the Microsoft Kinect, or other camera-based systems with computer vision. However, tracking is constrained by the system’s field of view of people. When a person is occluded from the camera view, their position can no longer be followed. Out of Sight addresses the occlusion problem in depth-sensing tracking systems. Our new tracking infrastructure provides human skeleton joint positions during occlusion, by combining the field of view of multiple Kinects using geometric calibration and affine transformation. We verified the technique’s accuracy through a system evaluation consisting of 20 participants in stationary position and in motion, with two Kinects positioned parallel, 45°, and 90° apart. Results show that our skeleton matching is accurate to within 16.1 cm (s.d. = 5.8 cm), which is within a person’s personal space. In a realistic scenario study, groups of two people quickly occlude each other, and occlusion is resolved for 85% of the participants. A RESTful API was developed to allow distributed access of occlusion-free skeleton joint positions. As a further contribution, we provide the system as open source.
Citation
Wu , C-J , Quigley , A J & Harris-Birtill , D C C 2017 , ' Out of sight : a toolkit for tracking occluded human joint positions ' , Personal and Ubiquitous Computing , vol. 21 , no. 1 , pp. 125-135 . https://doi.org/10.1007/s00779-016-0997-6
Publication
Personal and Ubiquitous Computing
Status
Peer reviewed
DOI
https://doi.org/10.1007/s00779-016-0997-6
ISSN
1617-4909
Type
Journal article
Rights
© The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/9961

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