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Sensors 2015, 15(6), 12959-12982; doi:10.3390/s150612959

Visual Privacy by Context: Proposal and Evaluation of a Level-Based Visualisation Scheme

1
Department of Computer Technology, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain
2
Faculty of Science, Engineering and Computing, Kingston University, Penrhyn Road, KT1 2EE Kingston upon Thames, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Jesús Fontecha and Paul Mccullagh
Received: 29 April 2015 / Revised: 31 May 2015 / Accepted: 2 June 2015 / Published: 4 June 2015
View Full-Text   |   Download PDF [5178 KB, uploaded 4 June 2015]   |  

Abstract

Privacy in image and video data has become an important subject since cameras are being installed in an increasing number of public and private spaces. Specifically, in assisted living, intelligent monitoring based on computer vision can allow one to provide risk detection and support services that increase people’s autonomy at home. In the present work, a level-based visualisation scheme is proposed to provide visual privacy when human intervention is necessary, such as at telerehabilitation and safety assessment applications. Visualisation levels are dynamically selected based on the previously modelled context. In this way, different levels of protection can be provided, maintaining the necessary intelligibility required for the applications. Furthermore, a case study of a living room, where a top-view camera is installed, is presented. Finally, the performed survey-based evaluation indicates the degree of protection provided by the different visualisation models, as well as the personal privacy preferences and valuations of the users. View Full-Text
Keywords: privacy; context; intelligent monitoring; ambient-assisted living privacy; context; intelligent monitoring; ambient-assisted living
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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. (CC BY 4.0).

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MDPI and ACS Style

Padilla-López, J.R.; Chaaraoui, A.A.; Gu, F.; Flórez-Revuelta, F. Visual Privacy by Context: Proposal and Evaluation of a Level-Based Visualisation Scheme. Sensors 2015, 15, 12959-12982.

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