Smart cameras: 2d affine models for determining subject facial expressions

Ioana Bacivarov, Peter Corcoran, Mircea Ionita

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

16 Citations (Scopus)

Abstract

In this paper we consider how next generation of smart cameras will move beyond face detection and tracking to develop more useful analysis tools for determining the expressions and emotions of the subjects in images. An initial proof-of-concept using an extension of an Active Appearance Model (AAM) to measure facial parameters and a set of classifiers to determine facial states are described. Preliminary findings are encouraging and suggest that the use of the component-based AAM models and SVM classifiers will enable new applications and opportunities in smart cameras.

Original languageEnglish
Article number5505930
Pages (from-to)289-297
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Volume56
Issue number2
DOIs
Publication statusPublished - 1 May 2010

Keywords

  • AAM
  • SVM
  • Smart cameras
  • affective imaging
  • expression classification and recognition

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • Bacivarov, I;Corcoran, P;Ionita, M

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