Vision based hand modeling and tracking for virtual teleconferencing and telecollaboration

James J. Kuch, Thomas S Huang

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

Abstract

In this work, the authors present a hand model that simultaneously satisfies both the synthesis and analysis requirements of model based compression. The model is able to fitted to any person's hand and can be done using a single camera. Once the model is fitted to a real human hand, it is then used in several tracking scenarios in order to verify its effectiveness. With successful tracking achieved, the model is ready to be incorporated into a virtual environment or model based compression scheme such as sign language communication over telephone lines or virtual teleconferences over computer networks at very low bit rates and at very high image quality.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Computer Vision
Editors Anon
PublisherIEEE
Pages666-671
Number of pages6
StatePublished - 1995
EventProceedings of the 5th International Conference on Computer Vision - Cambridge, MA, USA
Duration: Jun 20 1995Jun 23 1995

Other

OtherProceedings of the 5th International Conference on Computer Vision
CityCambridge, MA, USA
Period6/20/956/23/95

ASJC Scopus subject areas

  • Engineering(all)

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