Facial Feature Points Tracking System and Simulation Analysis

Authors

MingZe Yuan, 1.The Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China; ;2.University of Chinese Academy of Sciences, Beijing 100049, China;
Shihong Xia, 1.The Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China; ;

Abstract

Abstract: Obtaining facial feature points from images are one of the fundamental research issues in computer vision and graphics. At present, most of face alignment methods obtain the position information of face feature points from a single static picture, i.e., a single still picture detection. Although these methods have obtained relatively accurate detection results, in the detection of feature points of continuous picture sequences, the feature point jitter may occur due to environmental changes such as illumination and background. Therefore, an embedded tracking system for a human face feature points is constructed using a tracking-based method for acquiring facial feature point positions from successive picture sequences. Simulation results show that this method is effective.

Recommended Citation

Yuan, MingZe and Xia, Shihong (2019) "Facial Feature Points Tracking System and Simulation Analysis," Journal of System Simulation: Vol. 30: Iss. 12, Article 16.
DOI: 10.16182/j.issn1004731x.joss.201812016
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss12/16

First Page

4618

Revised Date

2018-08-17

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201812016

Last Page

4624

CLC

TP391.41

Recommended Citation

Yuan MingZe, Xia Shihong. Facial Feature Points Tracking System and Simulation Analysis[J]. Journal of System Simulation, 2018, 30(12): 4618-4624.

DOI

10.16182/j.issn1004731x.joss.201812016