Automatic facial expression recognition using bags of motion words

Research output: Contribution to conferencePaperpeer-review

21 Scopus citations

Abstract

We present a fully automatic approach for facial expression recognition based on a representation of facial motion using a vocabulary of local motion descriptors. Previous studies have shown that motion is sufficient for recognizing expressions. Moreover, by discarding appearance after optical flow estimation, our representation is invariant to the subjects' ethnic background, facial hair and other confounders. Unlike most facial expression recognition approaches, ours is general and not specifically tailored to faces. Annotation efforts for training are minimal, since the user does not have to label frames according to the phase of the expression, or identify facial features. Only a single expression label per sequence is required. We show results on a database of 600 video sequences.

Original languageEnglish
DOIs
StatePublished - 2010
Event2010 21st British Machine Vision Conference, BMVC 2010 - Aberystwyth, United Kingdom
Duration: 31 Aug 20103 Sep 2010

Conference

Conference2010 21st British Machine Vision Conference, BMVC 2010
Country/TerritoryUnited Kingdom
CityAberystwyth
Period31/08/103/09/10

Fingerprint

Dive into the research topics of 'Automatic facial expression recognition using bags of motion words'. Together they form a unique fingerprint.

Cite this