- 휴먼-로봇 인터액션을 위한 하이브리드 스켈레톤 특징점 추출
- ㆍ 저자명
- 주영훈,소제윤,Joo. Young-Hoon,So. Jea-Yun
- ㆍ 간행물명
- 제어·로봇·시스템학회 논문지
- ㆍ 권/호정보
- 2008년|14권 2호|pp.178-183 (6 pages)
- ㆍ 발행정보
- 제어로봇시스템학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
Human motion analysis is researched as a new method for human-robot interaction (HRI) because it concerns with the key techniques of HRI such as motion tracking and pose recognition. To analysis human motion, extracting features of human body from sequential images plays an important role. After finding the silhouette of human body from the sequential images obtained by CCD color camera, the skeleton model is frequently used in order to represent the human motion. In this paper, using the silhouette of human body, we propose the feature extraction method based on hybrid skeleton for detecting human motion. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.