A two-step approach to multiple facial feature tracking: temporal particle filter and spatial belief propagation

2004 ◽  
Author(s):  
Congyong Su ◽  
Yueting Zhuang ◽  
Li Huang ◽  
Fei Wu
Keyword(s):  
Particle Filter ◽  
Feature Tracking ◽  
Belief Propagation ◽  
Facial Feature ◽  
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.

Facial feature tracking with the super image vector inner product

2007 ◽  
Author(s):  
Wei Su ◽  
Laurence G. Hassebrook ◽  
S. Hariharan
Keyword(s):  
Feature Tracking ◽  
Facial Feature ◽  
Inner Product ◽  
Facial Feature Tracking
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