Visual privacy by context : proposal and evaluation of a level-based visualisation scheme

Padilla-Lopez, Jose Ramon, Chaaraoui, Alexandros Andre, Gu, Feng and Florez-Revuelta, Francisco (2015) Visual privacy by context : proposal and evaluation of a level-based visualisation scheme. Sensors, 15(6), pp. 12959-12982. ISSN (online) 1424-8220

Full text available as:
[img] Text
sensors-15-12959 (2).pdf
Available under License Creative Commons Attribution.

Download (5MB)


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.

Item Type: Article
Uncontrolled Keywords: privacy, context, intelligent monitoring, ambient-assisted living
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing (until 2017) > School of Life Sciences
Related URLs:
Depositing User: Francisco Florez Revuelta
Date Deposited: 08 Jun 2015 13:29
Last Modified: 11 Sep 2015 14:16

Actions (Repository Editors)

Item Control Page Item Control Page