Implementation of Real-Time Image Blurring System for User Privacy Support

사용자 보호를 위한 실시간 이미지 모자이크 처리 시스템 개발

  • Minyeong Kim (Department of Smart Information and Telecommunication Engineering, Sangmyung University) ;
  • Suah Jeon (Department of Smart Information and Telecommunication Engineering, Sangmyung University) ;
  • Jihoon Lee (Department of Smart Information and Telecommunication Engineering, Sangmyung University)
  • 김민영 (상명대학교 스마트정보통신공학과) ;
  • 전수아 (상명대학교 스마트정보통신공학과) ;
  • 이지훈 (상명대학교 스마트정보통신공학과)
  • Received : 2023.02.23
  • Accepted : 2023.03.20
  • Published : 2023.03.31

Abstract

Recently, with the explosive increase of video streaming services, real-time live broadcasting has also increased, which leads to an infringement problem for user privacy. So, to solve such problems, we proposed the real image blurring system using dlib face-recognition library. 68 face landmarks are extracted and convert into 128 vector values. After that the proposed system tries to compare this value with the image in the database, and if it is over 0.45, it is considered as different person and image blurring processing is performed. With the proposed system, it is possible to solve the problem of user privacy infringement, and also to be utilized to detect the specific person. Through experimental results, the proposed system has an accuracy of more than 90% in terms of face recognition.

Keywords

Acknowledgement

본 연구는 2022학년도 상명대학교 교내연구비를 지원 받아 수행하였음. (2022-A000-0324)

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