A full-body gesture database for automatic gesture recognition

Bon Woo Hwang, Sungmin Kim, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

38 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Pages243-248
Number of pages6
Volume2006
DOIs
Publication statusPublished - 2006 Nov 14
EventFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton, United Kingdom
Duration: 2006 Apr 102006 Apr 12

Other

OtherFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
CountryUnited Kingdom
CitySouthampton
Period06/4/1006/4/12

Fingerprint

Gesture recognition
Cameras
Masks

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Hwang, B. W., Kim, S., & Lee, S. W. (2006). A full-body gesture database for automatic gesture recognition. In FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (Vol. 2006, pp. 243-248). [1613027] https://doi.org/10.1109/FGR.2006.8

A full-body gesture database for automatic gesture recognition. / Hwang, Bon Woo; Kim, Sungmin; Lee, Seong Whan.

FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition. Vol. 2006 2006. p. 243-248 1613027.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hwang, BW, Kim, S & Lee, SW 2006, A full-body gesture database for automatic gesture recognition. in FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition. vol. 2006, 1613027, pp. 243-248, FGR 2006: 7th International Conference on Automatic Face and Gesture Recognition, Southampton, United Kingdom, 06/4/10. https://doi.org/10.1109/FGR.2006.8
Hwang BW, Kim S, Lee SW. A full-body gesture database for automatic gesture recognition. In FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition. Vol. 2006. 2006. p. 243-248. 1613027 https://doi.org/10.1109/FGR.2006.8
Hwang, Bon Woo ; Kim, Sungmin ; Lee, Seong Whan. / A full-body gesture database for automatic gesture recognition. FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition. Vol. 2006 2006. pp. 243-248
@inproceedings{97a938d1877f446b899e935e4161ee3e,
title = "A full-body gesture database for automatic gesture recognition",
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.",
author = "Hwang, {Bon Woo} and Sungmin Kim and Lee, {Seong Whan}",
year = "2006",
month = "11",
day = "14",
doi = "10.1109/FGR.2006.8",
language = "English",
isbn = "0769525032",
volume = "2006",
pages = "243--248",
booktitle = "FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition",

}

TY - GEN

T1 - A full-body gesture database for automatic gesture recognition

AU - Hwang, Bon Woo

AU - Kim, Sungmin

AU - Lee, Seong Whan

PY - 2006/11/14

Y1 - 2006/11/14

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33750797141&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33750797141&partnerID=8YFLogxK

U2 - 10.1109/FGR.2006.8

DO - 10.1109/FGR.2006.8

M3 - Conference contribution

SN - 0769525032

SN - 9780769525037

VL - 2006

SP - 243

EP - 248

BT - FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition

ER -