Detecting Unusual Inactivity by Introducing Activity Histogram Comparisons

Rainer Planinc, Martin Kampel

Abstract

Unusual inactivity at elderly’s homes is an evidence that help is needed. Hence, the automatic detection of abnormal behaviour with a low number of false positives is desired. The aim of this work is to improve the accuracy of inactivity detection by introducing a new approach based on histogram comparison in order to reliably detect abnormal behaviour in elderly’s homes. The proposed approach compares activity histograms with a pre-trained reference histogram and detects deviations from normal behavior. Evaluation is performed on a dataset containing 103 days of activity, where six days were reported as containing ”unusual” inactivity (i.e., longer absence from home) by an elderly couple.

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Paper Citation


in Harvard Style

Planinc R. and Kampel M. (2014). Detecting Unusual Inactivity by Introducing Activity Histogram Comparisons . 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 313-320. DOI: 10.5220/0004670203130320


in Bibtex Style

@conference{visapp14,
author={Rainer Planinc and Martin Kampel},
title={Detecting Unusual Inactivity by Introducing Activity Histogram Comparisons},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={313-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004670203130320},
isbn={978-989-758-004-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Detecting Unusual Inactivity by Introducing Activity Histogram Comparisons
SN - 978-989-758-004-8
AU - Planinc R.
AU - Kampel M.
PY - 2014
SP - 313
EP - 320
DO - 10.5220/0004670203130320