title: Visual privacy by context: proposal and evaluation of a level-based visualisation scheme.
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.
authors.affiliation: Department of Computer Technology, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain. jpadilla@dtic.ua.es.
authors.forename: José Ramón
authors.initials: JR
authors.lastname: Padilla-López
authors.affiliation: Department of Computer Technology, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain. alexandros@dtic.ua.es.
authors.forename: Alexandros Andre
authors.initials: AA
authors.lastname: Chaaraoui
authors.affiliation: Faculty of Science, Engineering and Computing, Kingston University, Penrhyn Road, KT1 2EE Kingston upon Thames, UK. F.Gu@kingston.ac.uk.
authors.forename: Feng
authors.initials: F
authors.lastname: Gu
authors.affiliation: Department of Computer Technology, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain. F.Florez@kingston.ac.uk.|Faculty of Science, Engineering and Computing, Kingston University, Penrhyn Road, KT1 2EE Kingston upon Thames, UK. F.Florez@kingston.ac.uk.
authors.forename: Francisco
authors.initials: F
authors.lastname: Flórez-Revuelta
mesh_terms: D040561:Assisted Living Facilities; D004784:Environmental Monitoring; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D018907:Privacy; D014741:Video Recording
keywords: ambient-assisted living; context; intelligent monitoring; privacy