The issue of privacy protection 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 put forward a framework to assess the capacity of privacy protection solutions to hide distinguishing facial information and to conceal identity. We then conduct rigorous experiments to evaluate the performance of face recognition algorithms applied to images altered by privacy protection techniques. Results show the ineffectiveness of naïve privacy protection techniques such as pixelization and blur. Conversely, they demonstrate the effectiveness of more sophisticated scrambling techniques to foil face recognition.
In the work by Dufaux et al., REF a framework is defined to evaluate the performance of face recognition algorithms applied to images altered by various obfuscation methods, based on the Face Identification Evaluation System (FIES).
A framework for the validation of privacy protection solutions in video surveillance
2010 IEEE International Conference on Multimedia and Expo
2010 IEEE International Conference on Multimedia and Expo
Computer Science