2D and 3D full-body gesture database for analyzing daily human gestures

Bon Woo Hwang; Sungmin Kim; Seong Whan Lee

doi:10.1007/11538059_64

2D and 3D full-body gesture database for analyzing daily human gestures

Bon Woo Hwang, Sungmin Kim, Seong Whan Lee

Research output: Contribution to journal › Conference article › peer-review

10 Citations (Scopus)

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.

Original language	English
Pages (from-to)	611-620
Number of pages	10
Journal	Lecture Notes in Computer Science
Volume	3644
Issue number	PART I
DOIs	https://doi.org/10.1007/11538059_64
Publication status	Published - 2005
Event	International Conference on Intelligent Computing, ICIC 2005 - Hefei, China Duration: 2005 Aug 23 → 2005 Aug 26

Bibliographical note

Funding Information:
This research was supported by the Intelligent Robotics Development Program, one of the 21st Century Frontier R&D Programs funded by the Ministry of Commerce, Industry and Energy of Korea.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/11538059_64

Cite this

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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.",

author = "Hwang, {Bon Woo} and Sungmin Kim and Lee, {Seong Whan}",

note = "Funding Information: This research was supported by the Intelligent Robotics Development Program, one of the 21st Century Frontier R&D Programs funded by the Ministry of Commerce, Industry and Energy of Korea.; International Conference on Intelligent Computing, ICIC 2005 ; Conference date: 23-08-2005 Through 26-08-2005",

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T1 - 2D and 3D full-body gesture database for analyzing daily human gestures

AU - Hwang, Bon Woo

AU - Kim, Sungmin

AU - Lee, Seong Whan

N1 - Funding Information: This research was supported by the Intelligent Robotics Development Program, one of the 21st Century Frontier R&D Programs funded by the Ministry of Commerce, Industry and Energy of Korea.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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DO - 10.1007/11538059_64

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AN - SCOPUS:27144538870

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SP - 611

EP - 620

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - PART I

T2 - International Conference on Intelligent Computing, ICIC 2005

Y2 - 23 August 2005 through 26 August 2005

ER -

2D and 3D full-body gesture database for analyzing daily human gestures

Abstract

Bibliographical note

ASJC Scopus subject areas

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