Mouth state estimation in mobile computing environment

Pong Chi YUEN*, J. H. Lai, Q. Y. Huang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

This paper discusses a vision-based human understanding application in mobile devices and reports an efficient mouth boundary detection and mouth state estimation algorithm. The proposed algorithm is insensitive to the illumination changes. 400 head-&-shoulder face images are used for evaluation. The accuracy in mouth boundary detection and the mouth state estimation are 83.5% and 79.75% respectively. The computational time in Pentium III 700MHz PC using matlab implementation is less than one minute. It is reasonable to estimate that if the algorithm is implemented using low level language or assembly language, the processing time should be less than one second.

Original languageEnglish
Title of host publicationProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Pages705-710
Number of pages6
DOIs
Publication statusPublished - 2004
EventProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul, Korea, Republic of
Duration: 17 May 200419 May 2004

Publication series

NameProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Conference

ConferenceProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Country/TerritoryKorea, Republic of
CitySeoul
Period17/05/0419/05/04

Scopus Subject Areas

  • Engineering(all)

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