Video scrambling for privacy protection in video surveillance: recent results and validation framework

Frederic Dufaux

doi:10.1117/12.883948

12 May 2011 Video scrambling for privacy protection in video surveillance: recent results and validation framework

Frederic Dufaux

Proceedings Volume 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011; 806302 (2011) https://doi.org/10.1117/12.883948
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

The issue of privacy in video surveillance has drawn a lot of interest lately. However, thorough performance analysis and validation is still lacking, especially regarding the fulfillment of privacy-related requirements. In this paper, we first review recent Privacy Enabling Technologies (PET). Next, we discuss pertinent evaluation criteria for effective privacy protection. We then put forward a framework to assess the capacity of PET solutions to hide distinguishing facial information and to conceal identity. We conduct comprehensive and rigorous experiments to evaluate the performance of face recognition algorithms applied to images altered by PET. Results show the ineffectiveness of naïve PET such as pixelization and blur. Conversely, they demonstrate the effectiveness of more sophisticated scrambling techniques to foil face recognition.

Citation Download Citation

Frederic Dufaux "Video scrambling for privacy protection in video surveillance: recent results and validation framework", Proc. SPIE 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011, 806302 (12 May 2011); https://doi.org/10.1117/12.883948

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