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International Afro-European Conference for Industrial Advancement

AECIA 2016: Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016 pp 97–105Cite as

Fall Detection for Elderly Based on Background Subtraction and Key Points Matching

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 565))

Abstract

The automatic detection of old persons falling in real time is a new way of interaction between Human and machines to ensure elderly people safety at home. The process of fall detection would not be possible without detecting moving persons at first, then following them and lastly recognizing and differentiating between the fall and the non-fall activity. The main aim of this paper is to propose an automatic method for fall detection based on motion detection using background subtraction, key points matching and activities recognizing.

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Author information

Authors and Affiliations

  1. Laboratoire de Biophysique et des Technologies Médicales, Institut Supérieur des Technologies Médicales de Tunis, Université de Tunis El Manar, Tunis, Tunisia

    Syhem Samti, Jalel Chaabani & Nawres Khlifa

Authors
  1. Syhem Samti
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  2. Jalel Chaabani
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  3. Nawres Khlifa
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Corresponding author

Correspondence to Syhem Samti .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Department of Mathematics and Computer, Faculty of Sciences and Techniques, Settat, Morocco

    Abdelkrim Haqiq

  3. Information Technology Department, Faculty of Computers and Information, Giza, Egypt

    Aboul Ella Hassanien

  4. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

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© 2018 Springer International Publishing AG

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Samti, S., Chaabani, J., Khlifa, N. (2018). Fall Detection for Elderly Based on Background Subtraction and Key Points Matching. In: Abraham, A., Haqiq, A., Ella Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016. AECIA 2016. Advances in Intelligent Systems and Computing, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-319-60834-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-60834-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60833-4

  • Online ISBN: 978-3-319-60834-1

  • eBook Packages: EngineeringEngineering (R0)

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