NDLI: A full-body gesture database for automatic gesture recognition

Content Provider	IEEE Xplore Digital Library
Author	Bon-Woo Hwang Sungmin Kim Seong-Whan Lee
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Korea Univ., Seoul (Bon-Woo Hwang; Sungmin Kim; Seong-Whan Lee)
Abstract	This paper presents a full-body gesture database which contains 2D video data and 3D motion data of 14 normal gestures, 10 abnormal gestures and 30 command gestures for 20 subjects. We call this database the Korea University Gesture (KUG) database. Using 3D motion cameras and 3 sets of stereo cameras, we captured 3D motion data and 3 pairs of stereo-video data at 3 different directions for normal and abnormal gestures. In case of command gestures, 2 pairs of stereo-video data is obtained by 2 sets of stereo cameras with different focal length in order to effectively capture views of whole body and upper body, simultaneously. In addition to these, the 2D silhouette data is synthesized by separating a subject and background in 2D stereo-video data and saved as binary mask images. In this paper, we describe the gesture capture system, the organization of database, the potential usages of the database and the way of obtaining the KUG database
Starting Page	243
Ending Page	248
File Size	643075
Page Count	6
File Format	PDF
ISBN	0769525032
DOI	10.1109/FGR.2006.8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-10
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Cameras Image databases Motion analysis Computer science Data engineering Man machine systems Machine control Surveillance Algorithm design and analysis
Content Type	Text
Resource Type	Article

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