An Approach for Skeleton Fitting in Long-Wavelength Infrared Images - First Results for a Robust Head Localisation using Probability Masks

Julia Richter, Christian Wiede, Gangolf Hirtz

Abstract

Human skeleton extraction has become a key instrument for motion analysis in the fields of surveillance, entertainment and medical diagnostics. While a vast amount of research has been carried out on skeleton extraction using RGB and depth images, far too little attention has been paid to extraction methods using long-wavelength infrared images. This paper provides an overview about existing approaches and explores their limitations. So far, extant studies have exploited thermal data only for silhouette generation as a preprocessing step. Moreover, they make strong assumptions, such as T-pose initialization. On this basis, we are developing an algorithm to fit the joints of a skeleton model into thermal images without such restrictions. We propose to find the head location as an initial step by using probability masks. These masks are designed to allow a robust head localisation in unrestricted settings. For the future algorithm design, we plan to localise the remaining skeleton joints by means of geometrical constraints. At this point, we will also consider sequences where persons wear thick clothes, which is aggravating the extraction procedure. This paper presents the current state of this project and outlines further approaches that have to be investigated to extract the complete skeleton.

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Paper Citation


in Harvard Style

Richter J., Wiede C. and Hirtz G. (2018). An Approach for Skeleton Fitting in Long-Wavelength Infrared Images - First Results for a Robust Head Localisation using Probability Masks.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-290-5, pages 373-379. DOI: 10.5220/0006645103730379


in Bibtex Style

@conference{visapp18,
author={Julia Richter and Christian Wiede and Gangolf Hirtz},
title={An Approach for Skeleton Fitting in Long-Wavelength Infrared Images - First Results for a Robust Head Localisation using Probability Masks},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2018},
pages={373-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006645103730379},
isbn={978-989-758-290-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - An Approach for Skeleton Fitting in Long-Wavelength Infrared Images - First Results for a Robust Head Localisation using Probability Masks
SN - 978-989-758-290-5
AU - Richter J.
AU - Wiede C.
AU - Hirtz G.
PY - 2018
SP - 373
EP - 379
DO - 10.5220/0006645103730379