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Sensors 2014, 14(5), 8895-8925; doi:10.3390/s140508895
Article

A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context

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Received: 11 March 2014; in revised form: 23 April 2014 / Accepted: 6 May 2014 / Published: 20 May 2014
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Abstract: 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.
Keywords: intelligent monitoring; vision system; ambient-assisted living; human behaviour analysis; human action recognition; multi-view recognition; telecare monitoring; privacy preservation; privacy by context intelligent monitoring; vision system; ambient-assisted living; human behaviour analysis; human action recognition; multi-view recognition; telecare monitoring; privacy preservation; privacy by context
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Chaaraoui, A.A.; Padilla-López, J.R.; Ferrández-Pastor, F.J.; Nieto-Hidalgo, M.; Flórez-Revuelta, F. A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context. Sensors 2014, 14, 8895-8925.

AMA Style

Chaaraoui AA, Padilla-López JR, Ferrández-Pastor FJ, Nieto-Hidalgo M, Flórez-Revuelta F. A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context. Sensors. 2014; 14(5):8895-8925.

Chicago/Turabian Style

Chaaraoui, Alexandros A.; Padilla-López, José R.; Ferrández-Pastor, Francisco J.; Nieto-Hidalgo, Mario; Flórez-Revuelta, Francisco. 2014. "A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context." Sensors 14, no. 5: 8895-8925.


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