지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2010.10
- 수록면
- 1,687 - 1,690 (4page)
이용수
초록· 키워드
오류제보하기
Intelligent Space (IS), a kind of intelligent home, is one of the popular of the applying RT into our daily life. In intelligent space environment, human behavior is one of the meaningful information for interpretation of our intention and needs. In this paper, we proposed the human posture recognition approach which focuses on a top-view vision. A top-view vision enables our system to observe the whole area with single camera and also avoid horizontal obstacle. Moreover, a human posture feature which based on DFT (Discrete-time Fourier Transform) coefficients of log-polar histogram has been proposed. We have categorized human behavior to two types. The first one is a stationary behavior which consists of standing, sitting and lying. The second one is a moving behavior.
목차
Abstract
1. INTRODUCTION
2. HUMAN BEHAVIOR RECOGNITION
3. SYSTEM DESIGN
4. RESULTS & DISCUSSION
5. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000940077