Optical flow based analyses to detect emotion from human facial image data

Publication Type:
Journal Article
Expert Systems with Applications, 2010, 37 (12), pp. 8897 - 8902
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2009005866OK.pdf842.35 kB
Adobe PDF
Artificial recognition of facial expression has attracted a lot of attention in the last few years and different facial expression detection methods have been developed. The current study uses a feature point tracking technique separately applied to the five facial image regions (eyebrows, eyes and mouth) to capture basic emotions. The used dataset contains a total 60 facial images from subjects different genders and nationality not wearing glasses and/or facial hair. Results show that the used point tracking algorithm separately applied to the five facial image regions can detect emotions in image sequences.
Please use this identifier to cite or link to this item: