Study on human gesture recognition from moving camera images

Dan Luo, Jun Ohya

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

3 Citations (Scopus)

Abstract

We develop a framework based approach to extract and recognize hand gestures from the video sequence acquired by a dynamic camera, which could be a useful interface between humans and mobile robots. We use Human-Following Local Coordinate (HFLC) System, a very simple and stable method for extracting hand motion trajectories, which is obtained from the located human face and body part. Hand trajectory motion models (HTMM) are constructed by HFLC and hand blob changing factor. In this paper, we apply a principal component analysis (PCA) based approach to improve the recognition accuracy. For further improvement, temporal changes in the observed hand area changing factor are utilized as new image features to be stored in the database after being analyzed by PCA. Each HTMM in the database is classified into gesture categories, or temporal changes in hand blob changes. We demonstrate the effectiveness of the proposed method by conducting experiments on 51 kinds of sign language based Japanese and American Sign Language gestures obtained from 7 people. Our experimental recognition results show better performance is obtained by PCA based approach than the Condensation algorithm based method.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Multimedia and Expo, ICME 2010
Pages274-279
Number of pages6
DOIs
Publication statusPublished - 2010 Nov 22
Event2010 IEEE International Conference on Multimedia and Expo, ICME 2010 - Singapore, Singapore
Duration: 2010 Jul 192010 Jul 23

Publication series

Name2010 IEEE International Conference on Multimedia and Expo, ICME 2010

Conference

Conference2010 IEEE International Conference on Multimedia and Expo, ICME 2010
CountrySingapore
CitySingapore
Period10/7/1910/7/23

Keywords

  • Active camera
  • Condensation
  • HFLC
  • Hand gesture
  • PCA

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

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  • Cite this

    Luo, D., & Ohya, J. (2010). Study on human gesture recognition from moving camera images. In 2010 IEEE International Conference on Multimedia and Expo, ICME 2010 (pp. 274-279). [5582998] (2010 IEEE International Conference on Multimedia and Expo, ICME 2010). https://doi.org/10.1109/ICME.2010.5582998