깊이 영상 분류 기법을 이용한 테이블탑 상호작용 시스템
- Title
- 깊이 영상 분류 기법을 이용한 테이블탑 상호작용 시스템
- Other Titles
- Tabletop Interaction System Using Depth Layering
- Author
- 박종일
- Issue Date
- 2014-06
- Publisher
- 대한전자공학회 / THE INSTITUTE OF ELECTRONICS ENGINEERS OF KOREA
- Citation
- 대한전자공학회 학술대회. 2014-06 :1945-1947
- Abstract
- In this paper, we propose an efficient tabletophuman-object interaction system by categorizingdepth information. This system uses three layers toapply proper algorithms respectively. Backgroundlayer is the trained background environment modelwhich is initialized at the beginning. The staticlayer is used to store steady objects which isregistered for interaction subject. And the dynamiclayer handles moving objects which in this case ishand. In each layer, a proper algorithm can beapplied separately without interference. The systemwill show how effective this approach works.
- URI
- http://www.dbpia.co.kr/Article/NODE02439059http://hdl.handle.net/20.500.11754/55654
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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