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Authors: Belhassen Akrout ; Walid Mahdi and Abdelmajid Ben Hamadou

Affiliation: Institute of Computer Science and Multimedia of Sfax and Sfax University, Tunisia

ISBN: 978-989-8565-47-1

Keyword(s): Drowsiness Detection, Multi-scale Analysis, Circular Hough Transform, Haar Features, Wavelet Decomposition, Geometric Features.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Features Extraction ; Human and Computer Interaction ; Human-Computer Interaction ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Segmentation and Grouping

Abstract: The lack of concentration due to the driver fatigue is a major cause that justifies the high number of accidents. This article describes a new approach to detect reduced alertness automatically from a system based on video analysis, to prevent the driver and also to reduce the number of accidents. Our approach is based on the temporal analysis of the state of opening and closing the eyes. Unlike many other works, our approach is based only on the analysis of geometric features captured form faces video sequence and does not need any elements linked to the human being.

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Paper citation in several formats:
Akrout, B.; Mahdi, W. and Ben Hamadou, A. (2013). Drowsiness Detection based on Video Analysis Approach.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 413-416. DOI: 10.5220/0004210004130416

@conference{visapp13,
author={Belhassen Akrout. and Walid Mahdi. and Abdelmajid Ben Hamadou.},
title={Drowsiness Detection based on Video Analysis Approach},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={413-416},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004210004130416},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Drowsiness Detection based on Video Analysis Approach
SN - 978-989-8565-47-1
AU - Akrout, B.
AU - Mahdi, W.
AU - Ben Hamadou, A.
PY - 2013
SP - 413
EP - 416
DO - 10.5220/0004210004130416

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