Direct manipulation interface using multiple cameras for hand gesture recognition

Akira Utsumi, Jun Ohya

Research output: Contribution to conferencePaper

Abstract

We propose a method to detect hand position, posture and shapes from multiple-viewpoint images. We employ a simple elliptic model and a small number of reliable image features detected in multiple-viewpoint images to estimate the pose (position and normal axis) of a human hand, where feature extraction is employed based on distance transformation. The COG (center of gravity) position and its distance value are extracted in the process. These features are robust against changes in hand shape and can produce stable pose estimations. A `best view' is selected from the estimation results, and hand shape recognition is performed based on a Fourier descriptor. This viewpoint selection approach can overcome the problem of self-occlusion. This system can be used as a user interface device in a virtual environment, replacing glove-type devices and overcoming most of the disadvantages of contact-type devices.

Original languageEnglish
Pages264-267
Number of pages4
Publication statusPublished - 1998 Jan 1
EventProceedings of the 1998 International Conference on Multimedia Computing and Systems - Austin, TX, USA
Duration: 1998 Jun 281998 Jul 1

Other

OtherProceedings of the 1998 International Conference on Multimedia Computing and Systems
CityAustin, TX, USA
Period98/6/2898/7/1

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ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Utsumi, A., & Ohya, J. (1998). Direct manipulation interface using multiple cameras for hand gesture recognition. 264-267. Paper presented at Proceedings of the 1998 International Conference on Multimedia Computing and Systems, Austin, TX, USA, .