Facial expression recognition with regional hidden Markov models

Y. Sun, A. N. Akansu

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

A regional hidden Markov model (RHMM) for automatic facial expression recognition in video sequences is proposed. Facial action units are described by RHMMs for the states of facial regions: eyebrows, eyes and mouth registered in a video. The tracked facial feature points in the spatial domain form observation sequences that drive the classification process. It is shown that the proposed technique outperforms other methods reported in the literature for the personindependent case tested with the extended Cohn-Kanade database.

Original languageEnglish (US)
Pages (from-to)671-673
Number of pages3
JournalElectronics Letters
Volume50
Issue number9
DOIs
StatePublished - Apr 24 2014

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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