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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
- 2009.8
- 수록면
- 4,647 - 4,650 (4page)
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초록· 키워드
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This paper proposes a method for human behavior recognition by estimating the human state, i.e., position and orientation, using regression models. In the method, human silhouette in video images is detected by background sub traction technique, and the upper part of human silhouette is used for extracting the image feature. Linear regression technique is introduced to create a model that associates the image feature with human state. Human state estimation from the currently observed image is being performed through this model. Experiments are conducted on indoor space where an Omni Directional Vision(ODV) sensor is installed to the ceiling of crossing hall way. The feasibility and accuracy of our method is discussed through the experimental results.
목차
Abstract
1.INTRODUCTION
2.FEATURE EXTRACTION
3.STATE ESTIMATION
4.EXPERIMENT
5.CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000760979