Human detection is the initial step of human recognition for an interactive system. A depth sensor is used to detect audiences in a dark environment, such as a media art exhibition or a theater. The depth data are converted to three-dimensional points using camera parameter. The detected human and the background are separated using the position of converted points. As these processes require much computation, in this study, we reduced the amount of computation time for real-time human detection systems through the GPU multi-threaded programming. The head and body are separated using the geometric characteristics of a human shape. The facial components are classified by analyzing projected curves of x- and y-coordination and by applying them to the geometrical characteristics of human face.
목차
Abstract 1. Introduction 2. Human Detection in Interactive Art 3. Result References
키워드
Human DetectionInteractive ArtGPU programming
저자
SangHun Nam [ Center of Human-centered Interaction for Coexistence ]
YoungEun Kim [ Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University ]
Jung-Yoon Kim [ Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University ]
Corresponding Author
보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Bio-Science and Bio-Technology
간기
격월간
pISSN
2233-7849
수록기간
2009~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology Vol.6 No.5