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

View Sample PDF

Author(s): Guoyin Wang (Chonggqing University of Posts and Telecommunications, China), Yong Yang (Chonggqing University of Posts and Telecommunications, China)and Kun He (Tencent Corporation, China)
Copyright: 2012
Pages: 12
Source title: Developments in Natural Intelligence Research and Knowledge Engineering: Advancing Applications
Source Author(s)/Editor(s): Yingxu Wang (University of Calgary, Canada)
DOI: 10.4018/978-1-4666-1743-8.ch017

Keywords: Cognitive Informatics / Computer Science & IT / Engineering Science Reference

Purchase

View A Robust Facial Feature Tracking Method Based on Optical Flow and Prior Measurement on the publisher's website for pricing and purchasing information.

Abstract

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.

The IRMA Community

Research IRM

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

Purchase

Abstract

Related Content

IRMA Sponsors