Distinguishable de-identified faces

Zongji Sun, Li Meng, A. Ariyaeeinia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)
172 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProcs 2015 11th IEEE Int Conf and Workshops on Automatic Face and Gesture Recognition (FG)
Place of PublicationIEEE
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
Volume4
ISBN (Print)978-1-4799-6026-2
DOIs
Publication statusPublished - May 2015
Event2015 11th IEEE Int Conf and Workshops on Automatic Face and Gesture Recognition (FG) - Ljubljana, Slovenia
Duration: 4 May 20158 May 2015

Conference

Conference2015 11th IEEE Int Conf and Workshops on Automatic Face and Gesture Recognition (FG)
Country/TerritorySlovenia
CityLjubljana
Period4/05/158/05/15

Keywords

  • Biometrics
  • PRIVACY PROTECTION
  • Data Security

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