Title :
Recognizing human facial expressions from long image sequences using optical flow
Author :
Yacoob, Yaser ; Davis, Larry S.
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
fDate :
6/1/1996 12:00:00 AM
Abstract :
An approach to the analysis and representation of facial dynamics for recognition of facial expressions from image sequences is presented. The algorithms utilize optical flow computation to identify the direction of rigid and nonrigid motions that are caused by human facial expressions. A mid-level symbolic representation motivated by psychological considerations is developed. Recognition of six facial expressions, as well as eye blinking, is demonstrated on a large set of image sequences
Keywords :
face recognition; image recognition; image representation; image sequences; motion estimation; facial dynamics; human facial expression recognition; image sequences; motion analysis; optical flow; symbolic representation; Computer vision; Eyebrows; Face recognition; Facial features; Humans; Image motion analysis; Image sequences; Motion analysis; Optical computing; Tracking;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
