Title
2D and 3d full-body gesture database for analyzing daily human gestures
Abstract
This paper presents a database of 14 representative gestures in daily life of 20 subjects. We call this database the 2D and 3D Full-Body Gesture (FBG) database. Using 12 sets of 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 each gesture. 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 FBG database. We expect that this database would be very useful for the study of 2D/3D human gestures.
Year
DOI
Venue
2005
10.1007/11538059_64
ICIC (1)
Keywords
Field
DocType
binary mask image,fbg database,representative gesture,human gesture,motion data,daily human gesture,full-body gesture database,full-body gesture,stereo-video data,motion camera,silhouette data,gesture capture system
Stereo cameras,Gesture,Computer science,Silhouette,Binary image,Gesture recognition,Artificial intelligence,Motion estimation,Stereo camera,Computer vision,Pattern recognition,Binary data,Database
Conference
Volume
ISSN
ISBN
3644
0302-9743
3-540-28226-2
Citations 
PageRank 
References 
10
1.11
7
Authors
3
Name
Order
Citations
PageRank
Bon-Woo Hwang117716.33
Sungmin Kim2101.11
Seong-Whan Lee33756343.90