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학술지 A Motion and Similarity-Based Fake Detection Method for Biometric Face Recognition Systems
Cited 41 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
김영환, 유장희, 최경호
발행일
201105
출처
IEEE Transactions on Consumer Electronics, v.57 no.2, pp.756-762
ISSN
0098-3063
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TCE.2011.5955219
협약과제
11VS1300, 사람에 의한 안전위협의 실시간 인지를 위한 능동형 영상보안 서비스용 원거리 (CCTV 주간환경 5m이상) 사, 유장희
초록
In this paper, a motion and similarity-based fake detection algorithm is presented for biometric face recognition systems. First, an input video is segmented into foreground and background regions. Second, the similarity is measured between a background region, i.e., a region without a face and upper body, and an original background region recorded at an initializing stage. Third, a background motion index is calculated to indicate the amount of motion in the background region compared with the motion in the foreground region. By combining the result of similarity and the result of the background motion index, a fake video can be detected robustly with a regular USB camera. © 2011 IEEE.
키워드
Background Motion Index, Biometric Devices, Face Authentication, Fake Detection
KSP 제안 키워드
Detection Method, Detection algorithm, Face Authentication, Face Recognition system, Similarity-based, USB camera, Upper body