Vision AI-Based Automatic Selective De-Identification

  • 김대진; 
  • 전윤걸

초록

Recently, with personal information being increasingly used in several applications, its leakage and resulting damage have become a relevant concern. In video data, only people consenting to the collection of personal data are to be identified, and other people should be de-identified. In current automatic de-identification, not all objects are identified, and de-identification of only recognized objects is performed manually using video editor tools. Therefore, in this study, face/object-detection-based automatic selective de-identification was conducted through artificial intelligence technology to identify approved objects and de-identify remaining objects. Thus, selective protection can be automatically performed while ensuring the usability and stability of personal information.

키워드

선별적 비식별화; 개인정보; 얼굴인식; 객체인식; 자동화; Selective de-identification; Personal information; Face recognition; Object recognition; Automatic
제목
Vision AI-Based Automatic Selective De-Identification
저자
김대진; 전윤걸
발행일
2023-04
유형
Y
저널명
디지털콘텐츠학회논문지
권
24
호
4
페이지
725 ~ 734