Real-time gesture recognition using 3D motion history model

Ho Kuen Shin, Sang Woong Lee, Seong Whan Lee

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)


In this paper, we present a novel method for real time gesture recognition with 3D Motion History Model (MHM). There are two difficult problems in gesture recognition: the camera view and the duration of gesture. First, we solved the camera view problem which is very difficult in the environment of single directional camera (e.g., monocular or stereo camera). Utilizing 3D-MHM with the disparity information, not only this problem is solved but also the reliability of recognition and the scalability of system are improved. Second, we proposed the dynamic history buffering (DHB) to solve the duration problem that comes from the variation of gesture velocity at every performing time. DHB improves the problem using magnitude of motion. We implemented a real-time system and performed gesture recognition experiments. The system using 3D-MHM achieves better results of recognition than using only 2D motion information.

Original languageEnglish
Pages (from-to)888-898
Number of pages11
JournalLecture Notes in Computer Science
Issue numberPART I
Publication statusPublished - 2005
EventInternational Conference on Intelligent Computing, ICIC 2005 - Hefei, China
Duration: 2005 Aug 232005 Aug 26

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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