Deformable model and HMM-Based tracking, analysis and recognition of gestures and faces

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

7 Scopus citations

Abstract

In this paper we present a framework for the shape and motion estimation and recognition of faces and gestures. We first present physics-based modeling techniques for the 3D shape and motion estimation of humans based on single and multiple views as well as the integration of visual cues such as edges and optical flow. We then demonstrate that the reliable recognition of gesture and American Sign Language (ASL) in particular, requires the use of 3D tracking data, ASL phonology and modifications to the traditional use of Hidden Markov Models.

Original languageEnglish (US)
Title of host publicationProceedings - International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, RATFG-RTS 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages136-140
Number of pages5
ISBN (Electronic)0769503780, 9780769503783
DOIs
StatePublished - 1999
Externally publishedYes
Event1999 International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, RATFG-RTS 1999 - Corfu, Greece
Duration: Sep 26 1999Sep 27 1999

Publication series

NameProceedings - International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, RATFG-RTS 1999

Other

Other1999 International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, RATFG-RTS 1999
Country/TerritoryGreece
CityCorfu
Period9/26/999/27/99

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing

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