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Authors: Ignacio Rocco Spremolla 1 ; Michel Antunes 2 ; Djamila Aouada 2 and Björn Ottersten 2

Affiliations: 1 University of Luxembourg and Université Paris-Saclay, Luxembourg ; 2 University of Luxembourg, Luxembourg

ISBN: 978-989-758-175-5

Keyword(s): Sensor Fusion, RGB-D, Thermal Sensing, Person Tracking.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Registration ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: Many systems combine RGB cameras with other sensor modalities for fusing visual data with complementary environmental information in order to achieve improved sensing capabilities. This article explores the possibility of fusing a commodity RGB-D camera and a thermal sensor. We show that using traditional methods, it is possible to accurately calibrate the complete system and register the three RGB-D-T data sources. We propose a simple person tracking algorithm based on particle filters, and show how to combine the mapped pixel information from the RGB-D-T data. Furthermore, we use depth information to adaptively scale the tracked target area when radial displacements from the camera occur. Experimental results provide evidence that this allows for a significant tracking performance improvement in situations with large radial displacements, when compared to using only a tracker based on RGB or RGB-T data.

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Paper citation in several formats:
Rocco Spremolla I., Antunes M., Aouada D. and Ottersten B. (2016). RGB-D and Thermal Sensor Fusion - Application in Person Tracking.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 610-617. DOI: 10.5220/0005717706100617

@conference{visapp16,
author={Ignacio Rocco Spremolla and Michel Antunes and Djamila Aouada and Björn Ottersten},
title={RGB-D and Thermal Sensor Fusion - Application in Person Tracking},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={610-617},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005717706100617},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - RGB-D and Thermal Sensor Fusion - Application in Person Tracking
SN - 978-989-758-175-5
AU - Rocco Spremolla I.
AU - Antunes M.
AU - Aouada D.
AU - Ottersten B.
PY - 2016
SP - 610
EP - 617
DO - 10.5220/0005717706100617

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