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
- 2014.8
- 수록면
- 502 - 509 (8page)
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초록· 키워드
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This paper proposes a vision-based shadow gesture recognition method for interactive projection system. Gesture recognition method is based on the screen image obtained the web camera installed in the same position as the projector. Recognition method separates only the shadow area by combining the binary image with learning algorithm isolated background from the input image. The region of interest is set by labeling the shadow of separated regions, and then it can isolate hand shadow using defect, convex-hull and moment of each region. To distinguish hand gestures, Hu’s invariant moment method is used. In addition, we have used the multiscale retinex algorithm to solve the problem that camera cannot recognize the gesture in bright place. Optical Flow algorithm is used for tracking the fingertip and OpenGL is used for representing the result of drawing.
목차
ABSTRACT
1. Introduction
2. Overall Process
3. Separation and Detection Process
4. Recognition Process
5. Tracking Process
6. Experimental Results
7. Conclusion
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UCI(KEPA) : I410-ECN-0101-2015-500-002697452