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FGR
1998
IEEE

Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression

10 years 5 months ago
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, however, and emotion expression is far more varied. To capture the full range of emotion expression, automated discrimination of fine-grained changes in facial expression is needed. We developed and implemented an optical-flow based approach (feature point tracking) that is sensitive to subtle changes in facial expression. In image sequences from 100 young adults, action units and action unit combinations in the brow and mouth regions were selected for analysis if they occurred a minimum of 25 times in the image database. Selected facial features were automatically tracked using a hierarchical algorithm for estimating optical flow. Images sequences were randomly divided into training and test sets. Feature point tracking demonstrated high concurrent validity with human coding using the Facial Action Coding Syst...
Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Ji
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1998
Where FGR
Authors Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Jier Lien, Takeo Kanade
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