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Authors: Julia Richter ; Christian Wiede and Gangolf Hirtz

Affiliation: Technische Universität Chemnitz, Germany

ISBN: 978-989-758-290-5

Keyword(s): Human Skeleton Extraction, Thermal Imaging, Head Localisation.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Medical Image Applications

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 joint s 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. (More)

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Paper citation in several formats:
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: VISAPP, ISBN 978-989-758-290-5, pages 373-379. DOI: 10.5220/0006645103730379

@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: VISAPP,},
year={2018},
pages={373-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006645103730379},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: 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

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