Abstract:
The k-anonymity approach adopted by k-Same face de-identification methods enables these methods to serve their purpose of privacy protection. However, it also forces ever...Show MoreMetadata
Abstract:
The k-anonymity approach adopted by k-Same face de-identification methods enables these methods to serve their purpose of privacy protection. However, it also forces every k original faces to share the same de-identified face, making it impossible to track individuals in a k-Same de-identified video. To address this issue, this paper presents an approach to the creation of distinguishable de-identified faces. This new approach can serve privacy protection perfectly whilst producing de-identified faces that are as distinguishable as their original faces.
Published in: 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
Date of Conference: 04-08 May 2015
Date Added to IEEE Xplore: 01 October 2015
Electronic ISBN:978-1-4799-6026-2
School of Engineering and Technology, University of Hertfordshire, Hatfield, UK
School of Engineering and Technology, University of Hertfordshire, Hatfield, UK
School of Engineering and Technology, University of Hertfordshire, Hatfield, UK
Contents School of Engineering and Technology, University of Hertfordshire, Hatfield, UK
School of Engineering and Technology, University of Hertfordshire, Hatfield, UK
School of Engineering and Technology, University of Hertfordshire, Hatfield, UK
