Facial expression recognition from video sequences

Ira Cohen, Nicu Sebe, Ashutosh Garg, Michael S. Lew, Thomas S. Huang

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

Abstract

Recognizing human facial expression and emotion by computer is an interesting and challenging problem. We propose a method for recognizing emotions through facial expressions displayed in video sequences. We introduce a tree-augmented naive-Bayes (TAN) classifier that learns the dependencies between facial features; we also provide an algorithm for finding the best TAN structure. Our person-dependent and person-independent experiments show that using this TAN structure provides significantly better results than using simpler NB-classifiers.

Original languageEnglish (US)
Title of host publicationProceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages121-124
Number of pages4
ISBN (Electronic)0780373049
DOIs
StatePublished - 2002
Externally publishedYes
Event2002 IEEE International Conference on Multimedia and Expo, ICME 2002 - Lausanne, Switzerland
Duration: Aug 26 2002Aug 29 2002

Publication series

NameProceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Volume2

Other

Other2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Country/TerritorySwitzerland
CityLausanne
Period8/26/028/29/02

ASJC Scopus subject areas

  • Archaeology
  • Electrical and Electronic Engineering

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