Recognizing human facial expressions from long image sequences using optical flow

被引:240
作者
Yacoob, Y
Davis, LS
机构
[1] Computer Vision Laboratary, Center for Automation Research, University of Maryland, College Park
关键词
face expression recognition; non-rigid motion analysis; optical flow; tracking;
D O I
10.1109/34.506414
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An approach to the analysis and representation of facial dynamics for recognition of facial expressions from image sequences is presented. The algorithms utilize optical Row 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.
引用
收藏
页码:636 / 642
页数:7
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