Negotiating privacy preferences in video surveillance systems

Abstract

We propose a novel privacy aware video surveillance system. The proposed system encodes privacy preferences using P3P-APPEL framework that was first proposed for managing data privacy on the web. To this end, we have proposed extensions to P3P-APPEL to make it suitable for video surveillance applications. A noteworthy feature of the proposed system is its ability to interact with individuals present in the scene. Users with appropriate security credentials have access to one of three privacy settings: L0 (no privacy), L1 (face blur), and L2 (full body blur). User can thus choose the level of privacy (or surveillance) they are comfortable with. This is an extremely desirable capability that shifts the relationship between those who are observed and those who operate video surveillance systems. © 2011 Springer-Verlag.