Hybrid Camera Based Real-Time Human Body Segmentation for Virtual Reality E-learning System

Author

Ko, JongGook ; Lee, SuWoo ; Kang, Seokbin ; Lee, Junsuk

Author_Institution

Electron. & Telecommun. Res. Inst. (ETRI), Daejeon, South Korea

fYear

2011

fDate

23-25 May 2011

Firstpage

116

Lastpage

118

Abstract

This paper proposes hybrid camera based video segmentation approach of human body for virtual reality e-learning system. Color and IR(Infra-red rays) image are used for human body segmentation at the same time. Human foreground pixels are separated from background in color and IR image respectively. And two foreground pixels are integrated as final foreground result for better performance of human body segmentation. Good foreground human segmentation is useful for virtual reality e-learning system.

Keywords

computer aided instruction; image colour analysis; image segmentation; infrared imaging; video cameras; video signal processing; virtual reality; IR image; human foreground pixel; hybrid camera based video segmentation; image color; infrared rays image; real-time human body segmentation; virtual reality e-learning system; Biological system modeling; Cameras; Electronic learning; Image color analysis; Image segmentation; Pixel; Virtual reality; Hybrid camera; human body segmation; virtual reality elearning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers, Networks, Systems and Industrial Engineering (CNSI), 2011 First ACIS/JNU International Conference on

Conference_Location

Jeju Island

Print_ISBN

978-1-4577-0180-1

Type

conf

DOI

10.1109/CNSI.2011.50

Filename

5954293