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A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context
Due to progress and demographic change, society is facing a crucial challenge related to increased life expectancy and a higher number of people in situations of dependency. As a consequence, there exists a significant demand for support systems for personal autonomy. This article outlines the visio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4063058/ https://www.ncbi.nlm.nih.gov/pubmed/24854209 http://dx.doi.org/10.3390/s140508895 |
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author | Chaaraoui, Alexandros Andre Padilla-López, José Ramón Ferrández-Pastor, Francisco Javier Nieto-Hidalgo, Mario Flórez-Revuelta, Francisco |
author_facet | Chaaraoui, Alexandros Andre Padilla-López, José Ramón Ferrández-Pastor, Francisco Javier Nieto-Hidalgo, Mario Flórez-Revuelta, Francisco |
author_sort | Chaaraoui, Alexandros Andre |
collection | PubMed |
description | Due to progress and demographic change, society is facing a crucial challenge related to increased life expectancy and a higher number of people in situations of dependency. As a consequence, there exists a significant demand for support systems for personal autonomy. This article outlines the vision@home project, whose goal is to extend independent living at home for elderly and impaired people, providing care and safety services by means of vision-based monitoring. Different kinds of ambient-assisted living services are supported, from the detection of home accidents, to telecare services. In this contribution, the specification of the system is presented, and novel contributions are made regarding human behaviour analysis and privacy protection. By means of a multi-view setup of cameras, people's behaviour is recognised based on human action recognition. For this purpose, a weighted feature fusion scheme is proposed to learn from multiple views. In order to protect the right to privacy of the inhabitants when a remote connection occurs, a privacy-by-context method is proposed. The experimental results of the behaviour recognition method show an outstanding performance, as well as support for multi-view scenarios and real-time execution, which are required in order to provide the proposed services. |
format | Online Article Text |
id | pubmed-4063058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-40630582014-06-19 A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context Chaaraoui, Alexandros Andre Padilla-López, José Ramón Ferrández-Pastor, Francisco Javier Nieto-Hidalgo, Mario Flórez-Revuelta, Francisco Sensors (Basel) Article Due to progress and demographic change, society is facing a crucial challenge related to increased life expectancy and a higher number of people in situations of dependency. As a consequence, there exists a significant demand for support systems for personal autonomy. This article outlines the vision@home project, whose goal is to extend independent living at home for elderly and impaired people, providing care and safety services by means of vision-based monitoring. Different kinds of ambient-assisted living services are supported, from the detection of home accidents, to telecare services. In this contribution, the specification of the system is presented, and novel contributions are made regarding human behaviour analysis and privacy protection. By means of a multi-view setup of cameras, people's behaviour is recognised based on human action recognition. For this purpose, a weighted feature fusion scheme is proposed to learn from multiple views. In order to protect the right to privacy of the inhabitants when a remote connection occurs, a privacy-by-context method is proposed. The experimental results of the behaviour recognition method show an outstanding performance, as well as support for multi-view scenarios and real-time execution, which are required in order to provide the proposed services. Molecular Diversity Preservation International (MDPI) 2014-05-20 /pmc/articles/PMC4063058/ /pubmed/24854209 http://dx.doi.org/10.3390/s140508895 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Chaaraoui, Alexandros Andre Padilla-López, José Ramón Ferrández-Pastor, Francisco Javier Nieto-Hidalgo, Mario Flórez-Revuelta, Francisco A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context |
title | A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context |
title_full | A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context |
title_fullStr | A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context |
title_full_unstemmed | A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context |
title_short | A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context |
title_sort | vision-based system for intelligent monitoring: human behaviour analysis and privacy by context |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4063058/ https://www.ncbi.nlm.nih.gov/pubmed/24854209 http://dx.doi.org/10.3390/s140508895 |
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