Negotiating privacy preferences in video surveillance systems

Authors:
Mukhtaj S. Barhm;Nidal Qwasmi;Faisal Z. Qureshi;Khalil El-Khatib
Affiliations:
University of Ontario Institute of Technology, Oshawa, ON, Canada;University of Ontario Institute of Technology, Oshawa, ON, Canada;University of Ontario Institute of Technology, Oshawa, ON, Canada;University of Ontario Institute of Technology, Oshawa, ON, Canada
Venue:
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
Year:
2011

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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.