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

Bon Woo Hwang, Sungmin Kim, Seong Whan Lee

    Research output: Contribution to journalConference articlepeer-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 languageEnglish
    Pages (from-to)611-620
    Number of pages10
    JournalLecture Notes in Computer Science
    Volume3644
    Issue numberPART I
    DOIs
    Publication statusPublished - 2005
    EventInternational Conference on Intelligent Computing, ICIC 2005 - Hefei, China
    Duration: 2005 Aug 232005 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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