Visual tracking of high DOF articulated structures: An application to human hand tracking

James M. Rehg, Takeo Kanade

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

Abstract

Passive sensing of human hand and limb motion is important for a wide range of applications from human-computer interaction to athletic performance measurement. High degree of freedom articulated mechanisms like the human hand are difficult to track because of their large state space and complex image appearance. This article describes a model-based hand tracking system, called DigitEyes, that can recover the state of a 27 DOF hand model from ordinary gray scale images at speeds of up to 10 Hz.

Original languageEnglish (US)
Title of host publicationComputer Vision—ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings
EditorsJan-Olof Eklundh
PublisherSpringer
Pages35-46
Number of pages12
ISBN (Print)9783540579571
DOIs
StatePublished - 1994
Externally publishedYes
Event3rd European Conference on Computer Vision, ECCV 1994 - Stockholm, Sweden
Duration: May 2 1994May 6 1994

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume801 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd European Conference on Computer Vision, ECCV 1994
Country/TerritorySweden
CityStockholm
Period5/2/945/6/94

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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