Simultaneous Facial Feature Tracking and Facial Expression Recognition

2013 ◽  
Vol 22 (7) ◽  
pp. 2559-2573 ◽  
Author(s):  
Yongqiang Li ◽  
Shangfei Wang ◽  
Yongping Zhao ◽  
Qiang Ji
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Feature Tracking ◽  
Facial Feature ◽  
Expression Recognition ◽  
Facial Feature Tracking

A Robust Facial Feature Tracking Method Based on Optical Flow and Prior Measurement

2010 ◽  
Vol 4 (4) ◽  
pp. 62-75
Author(s):  
Guoyin Wang ◽  
Yong Yang ◽  
Kun He
Keyword(s):  
Optical Flow ◽  
Feature Tracking ◽  
Facial Feature ◽  
Recognition System ◽  
Research Area ◽  
Expression Recognition ◽  
Tracking Method ◽  
Facial Feature Tracking ◽  
Recognition Result ◽  
Method Of Measurement

Cognitive informatics (CI) is a research area including some interdisciplinary topics. Visual tracking is not only an important topic in CI, but also a hot topic in computer vision and facial expression recognition. In this paper, a novel and robust facial feature tracking method is proposed, in which Kanade-Lucas-Tomasi (KLT) optical flow is taken as basis. The prior method of measurement consisting of pupils detecting features restriction and errors and is used to improve the predictions. Simulation experiment results show that the proposed method is superior to the traditional optical flow tracking. Furthermore, the proposed method is used in a real time emotion recognition system and good recognition result is achieved.

Research on the Facial Expression Feature Extraction of Facial Expression Recognition Based on MATLAB

2014 ◽  
Vol 1049-1050 ◽  
pp. 1522-1525
Author(s):  
Wang Ju ◽  
Ding Rui ◽  
Chun Yan Nie
Keyword(s):  
Pattern Recognition ◽  
Feature Extraction ◽  
Facial Expression ◽  
Interpersonal Communication ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Facial Feature ◽  
Expression Recognition ◽  
Information Communication ◽  
Facial Feature Extraction

In such a developed day of information communication, communication is an important essential way of interpersonal communication. As a carrier of information, expression is rich in human behavior information. Facial expression recognition is a combination of many fields, but also a new topic in the field of pattern recognition. This paper mainly studied the facial feature extraction based on MATLAB, by MATLAB software, extracting the expression features through a large number of facial expressions, which can be divided into different facial expressions more accurate classification .

Sign in / Sign up

Export Citation Format

Share Document