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Tabletop Human-Object Interaction using Depth Layering

Title
Tabletop Human-Object Interaction using Depth Layering
Other Titles
깊이 영상 분류 기법을 이용한 테이블탑 상호작용 시스템
Author
박종일
Issue Date
2014-05
Publisher
대한전자공학회 / THE INSTITUTE OF ELECTRONICS ENGINEERS OF KOREA
Citation
2014년도 대한전자공학회 하계종합학술대회, 2014, 2014(6), P.1945-1947
Abstract
In this paper, we propose an efficient tabletop human-object interaction system by categorizing depth information. This system uses three layers to apply proper algorithms respectively. Background layer is the trained background environment model which is initialized at the beginning. The static layer is used to store steady objects which is registered for interaction subject. And the dynamic layer handles moving objects which in this case is hand. In each layer, a proper algorithm can be applied separately without interference. The system will show how effective this approach works.
URI
http://www.dbpia.co.kr/Article/NODE02439059http://hdl.handle.net/20.500.11754/55507
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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