An Efficient Approach to De-Identifying Faces in Videos

Li Meng, Zongji Sun, Odette Tejada
  • IET Signal Processing, September 2017, the Institution of Engineering and Technology (the IET)
  • DOI: 10.1049/iet-spr.2016.0761

An Efficient Approach to De-Identifying Faces in Videos

What is it about?

A novel approach to face de-identification for privacy protection, which is able to 1. conceal original identity of the faces in a video sequence; while 2. retain the original expressions on the faces after de-identification; and 3. operate in real-time for video streaming at 30 frames/sec

Why is it important?

Our novel approach has been tested extensively with real-life video sequences. Results show that our approach has achieved: privacy protection, identity consistency, preservation of facial expressions, and real-time operation.

Perspectives

Li Meng
University of Hertfordshire

This paper has been a key milestone for my research in face de-identification which pulled the findings of all my previous work together to form a complete system.

Read Publication

http://dx.doi.org/10.1049/iet-spr.2016.0761

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