상세정보
학술지
On Using Gait to Enhance Frontal Face Extraction
- 저자
- 정성욱, Mark S. Nixon
- 발행일
- 201212
- 출처
- IEEE Transactions on Information Forensics and Security, v.7 no.6, pp.1802-1811
- ISSN
- 1556-6013
- 출판사
- IEEE
- 협약과제
- 12VG1100, 사람에 의한 안전위협의 실시간 인지를 위한 능동형 영상보안 서비스용 원거리 (CCTV 주간환경 5m이상) 사람 식별 및 검색 원천기술 개발, 유장희
- 초록
- Visual surveillance finds increasing deployment for monitoring urban environments. Operators need to be able to determine identity from surveillance images and often use face recognition for this purpose. In surveillance environments, it is necessary to handle pose variation of the human head, low frame rate, and low resolution input images. We describe the first use of gait to enable face acquisition and recognition, by analysis of 3-D head motion and gait trajectory, with super-resolution analysis. We use region-and distance-based refinement of head pose estimation. We develop a direct mapping to relate the 2-D image with a 3-D model. In gait trajectory analysis, we model the looming effect so as to obtain the correct face region. Based on head position and the gait trajectory, we can reconstruct high-quality frontal face images which are demonstrated to be suitable for face recognition. The contributions of this research include the construction of a 3-D model for pose estimation from planar imagery and the first use of gait information to enhance the face extraction process allowing for deployment in surveillance scenarios. © 2012 IEEE.
- KSP 제안 키워드
- 2D image, 3d model, Direct mapping, Distance-based, Extraction process, Face Image, Face extraction, Gait trajectory, Head Pose Estimation, Head position, High-quality