Spotting segments displaying facial expression from image sequences using HMM

Takahiro Otsuka, Jun Ohya

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

44 Citations (Scopus)

Abstract

A method that can be used for spotting segments that display facial expression is proposed. The motion of the face is modeled by HMM in such a way that each state corresponds to the conditions of facial muscles, e.g., relaxed, contracting, apex and relaxing. The probability assigned to each state is updated iteratively as the feature vector is obtained from image processing. A spotted segment is placed into a certain category when the probability of that category exceeds a threshold value. Experiments show that the segments for the six basic expressions can be spotted accurately in near real time.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
PublisherIEEE Computer Society
Pages442-447
Number of pages6
ISBN (Print)0818683449, 9780818683442
DOIs
Publication statusPublished - 1998 Jan 1
Externally publishedYes
Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
Duration: 1998 Apr 141998 Apr 16

Publication series

NameProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998

Conference

Conference3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
CountryJapan
CityNara
Period98/4/1498/4/16

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Otsuka, T., & Ohya, J. (1998). Spotting segments displaying facial expression from image sequences using HMM. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 (pp. 442-447). [670988] (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998). IEEE Computer Society. https://doi.org/10.1109/AFGR.1998.670988