Recovering articulated motion with a hierarchical factorization method

Hanning Zhou, Thomas S. Huang

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

Abstract

Recovering articulated human motion is an important task in many applications including surveillance and human-computer interaction. In this paper, a hierarchical factorization method is proposed for recovering articulated human motion (such as hand gesture) from a sequence of images captured under weak perspective projection. It is robust against missing feature points due to self-occlusion, and various observation noises. The accuracy of our algorithm is verified by experiments on synthetic data.

Original languageEnglish (US)
Title of host publicationGesture-Based Communication in Human-Computer Interaction
EditorsAntonio Camurri, Gualtiero Volpe
PublisherSpringer
Pages140-151
Number of pages12
ISBN (Print)3540210725, 9783540210726
DOIs
StatePublished - Jan 1 2004
Event5th International GestureWorkshop, GW 2003 - Genova, Italy
Duration: Apr 15 2003Apr 17 2003

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2915
ISSN (Print)0302-9743

Other

Other5th International GestureWorkshop, GW 2003
Country/TerritoryItaly
CityGenova
Period4/15/034/17/03

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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