Real time facial expression recognition from image sequences using support vector machines

Conference paper


Kotsia, I. and Pitas, I. 2005. Real time facial expression recognition from image sequences using support vector machines. IIEEE International Conference on Image Processing (ICIP 2005). Genova, Italy 11 - 14 Sep 2005
TypeConference paper
TitleReal time facial expression recognition from image sequences using support vector machines
AuthorsKotsia, I. and Pitas, I.
Abstract

In this paper, two novel real-time methods are proposed for facial expression recognition in image sequences. The user manually places some of the Candide grid's points to the face depicted at the first frame. The grid adaptation system tracks the entire grid as the facial expression evolves through time, thus producing a grid that corresponds to the greatest intensity of the facial expression, as shown at the last frame. Certain points that are involved into creating the facial action units (FAUs) movements are selected. Their geometrical displacement information, defined as the coordinates' difference between the last and the first frame, is extracted to be the input to a bank of support vector machine (SVM) classifiers that are used to recognize either the six basic facial expressions or eight chosen FAUs. The results show a recognition accuracy of approximately 98% and 94% for direct and FAU based facial expression recognition, respectively.

Research GroupResearch Group on Development of Intelligent Environments
ConferenceIIEEE International Conference on Image Processing (ICIP 2005)
Publication process dates
Deposited07 Jan 2013
Output statusPublished
Web address (URL)http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=10153
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/83x43

  • 18
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as