系统仿真学报 ›› 2018, Vol. 30 ›› Issue (12): 4618-4624.doi: 10.16182/j.issn1004731x.joss.201812016

• 仿真系统与技术 • 上一篇    下一篇

人脸特征点跟踪系统与仿真分析

袁铭择1,2, 夏时洪1   

  1. 1.中国科学院计算技术研究所 前瞻研究实验室 移动计算与新型终端北京市重点实验室,北京 100190;
    2. 中国科学院大学,北京 100049
  • 收稿日期:2018-07-22 修回日期:2018-08-17 出版日期:2018-12-10 发布日期:2019-01-03
  • 作者简介:袁铭择(1988-),男,北京,博士生,研究方向为人体运动仿真; 夏时洪(1974-),男,四川,博士,研究员,博导,研究方向为计算机图形学、计算机视觉、人工智能。
  • 基金资助:
    国家自然科学基金(61772499)

Facial Feature Points Tracking System and Simulation Analysis

Yuan MingZe1,2, Xia Shihong1   

  1. 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
  • Received:2018-07-22 Revised:2018-08-17 Online:2018-12-10 Published:2019-01-03

摘要: 从图像中获取人脸特征点是计算机视觉和图形学领域的基础研究问题之一。目前大多数人脸特征点检测方法是从单张静态图片中获取人脸的特征点位置信息,即单张静止图片检测。这些方法虽然获得了较为精确的检测结果,但是在处理视频等连续的图片序列时,由于光照、背景环境变化等,会造成特征点抖动等问题。因此需要使用基于跟踪方法构建人脸特征点跟踪系统,从连续图片序列中获取人脸特征点位置信息。经过仿真实验,结果证明该种系统鲁棒、可行。

关键词: 人脸特征点检测, 人脸跟踪, 嵌入式系统, 视频处理

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.

Key words: facial feature points detection, face tracking, embedded system, video processing

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