Paper Info
Title
A Full-Body Gesture Database For Human Gesture Analysis
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 in 3 different directions for normal and abnormal gestures. In case of command gestures, 2 pairs of stereo-video data were obtained by 2 sets of stereo cameras with different focal lengths in order to capture views of whole body and upper body, simultaneously. The 2D silhouette data was synthesized by separating a subject and background in 2D stereo-video data. In this paper, we describe the gesture capture system, the organization of database, the potential usages of the database and the contact point for the KUG database. We expect that this database would be very useful for the study of 2D/3D human gesture and its application.
Year
DOI
Venue
2007
10.1142/S0218001407005806
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
full body gesture database, normal/abnormal/command gesture, gesture recognition, human motion analysis, 3D human body model
Computer vision,Stereo cameras,Computer science,Gesture,Silhouette,Gesture recognition,Speech recognition,Gesture analysis,Artificial intelligence,Database
Journal
Volume
Issue
ISSN
21
6
0218-0014
Citations 
PageRank 
References 
3
0.47
13
Authors
3
Name
Order
Citations
PageRank
Bon-Woo Hwang117716.33
Sungmin Kim230.47
SEONG-WHANe LEE330.47