Paper Info
Title
Protection Of Visual Privacy In Videos Acquired With Rgb Cameras For Active And Assisted Living Applications
Abstract
Active and assisted living technologies are much needed, but some aspects of them cause user rejection due to concerns on privacy. This is even more concerning to users when visual information is used, processed, and transmitted. To respond to these concerns, and maximise user acceptance, visual privacy protection measures have to be put in place. In the past, human detection and object segmentation in video were constrained by technological limitations, and could only run with specific hardware and sensors. This paper introduces a proposal for an RGB-only based visual privacy preservation filter, which capitalises on 'deep learning'-based segmentation and pose detectors. A background update scheme is presented, which limits leakage of sensitive information when detection fails. Dilation of the mask can further prevent information leakage, but a trade-off is necessary to correctly update background information. This is achieved via a specific study which is also presented. A comparative study is performed to determine the best configuration for privacy preservation. Results show that union of dilated masks from different deep networks achieves the best overall result.
Year
DOI
Venue
2021
10.1007/s11042-020-10249-1
MULTIMEDIA TOOLS AND APPLICATIONS
Keywords
DocType
Volume
Computer vision, Visual privacy, Data protection, Video surveillance, Active and assisted living
Journal
80
Issue
ISSN
Citations 
15
1380-7501
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Pau Climent-Pérez12187.59
Francisco Flórez-revuelta248134.95