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Authors: Viviana Weiss 1 ; Séverine Cloix 2 ; Guido Bologna 1 ; David Hasler 3 and Thierry Pun 1

Affiliations: 1 University of Geneva, Switzerland ; 2 CSEM SA and University of Geneva, Switzerland ; 3 CSEM SA, Switzerland

ISBN: 978-989-758-004-8

Keyword(s): Ground Change Detection, Colour and Texture Segmentation, Local Edge Patterns (LEP), Artificial Neural Network (ANN), Elderly Care, Gerontechnology.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Features Extraction ; Human and Computer Interaction ; Human-Computer Interaction ; Image and Video Analysis

Abstract: Nowadays, there are many different types of mobility aids for elderly people. Nevertheless, these devices may lead to accidents, depending on the terrain where they are being used. In this paper, we present a robust ground change detector that will warn the user of potentially risky situations. Specifically, we propose a robust classification algorithm to detect ground changes based on colour histograms and texture descriptors. In our design, we compare the current frame and the average of the k previous frames using different colour systems and Local Edge Patterns. To assess the performance of our algorithm, we evaluated different Artificial Neural Networks architectures. The best results were obtained by representing in the input neurons measures related to Histogram Intersections, Kolmogorov-Smirnov distance, Cumulative Integrals and Earth mover’s distance. Under real environmental conditions our results indicated that our proposed detector can accurately distinguish the grounds ch anges in real-time. (More)

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Paper citation in several formats:
Weiss, V.; Cloix, S.; Bologna, G.; Hasler, D. and Pun, T. (2014). A Robust, Real-time Ground Change Detector for a “Smart” Walker.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 305-312. DOI: 10.5220/0004665703050312

@conference{visapp14,
author={Viviana Weiss. and Séverine Cloix. and Guido Bologna. and David Hasler. and Thierry Pun.},
title={A Robust, Real-time Ground Change Detector for a “Smart” Walker},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={305-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004665703050312},
isbn={978-989-758-004-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - A Robust, Real-time Ground Change Detector for a “Smart” Walker
SN - 978-989-758-004-8
AU - Weiss, V.
AU - Cloix, S.
AU - Bologna, G.
AU - Hasler, D.
AU - Pun, T.
PY - 2014
SP - 305
EP - 312
DO - 10.5220/0004665703050312

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