东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (3): 335-338.DOI: -

• 信息与控制 • 上一篇    下一篇

基于极限学习机(ELM)的视线落点估计方法

朱博，张天侠   

  1. (东北大学机械工程与自动化学院，辽宁沈阳110819)
  • 收稿日期:2012-09-11 修回日期:2012-09-11 出版日期:2013-03-15 发布日期:2013-01-26
  • 通讯作者: 朱博
  • 作者简介:朱博(1970-)，男，辽宁阜新人，东北大学博士研究生；张天侠(1945-)，男，辽宁营口人，东北大学教授，博士生导师.
  • 基金资助:
    交通运输部公路科学研究所运输车辆运行安全技术实验室开放研究课题.

Gaze Point Estimation Method Based on ELM in Gaze Tracking System

ZHU Bo， ZHANG Tianxia   

  1. School of Mechanical Engineering ＆ Automation， Northeastern University， Shenyang 110819， China.
  • Received:2012-09-11 Revised:2012-09-11 Online:2013-03-15 Published:2013-01-26
  • Contact: ZHANG Tianxia
  • About author:-
  • Supported by:
    -

RichHTML

1

PDF (PC)

1350

摘要： 基于极限学习机(ELM)所具有的训练速度快、适合多分类的特点，提出一种新的单摄像机视线追踪系统视线落点估计方法.在初始标定阶段，将多视线参数作为ELM输入，将视线在屏幕上的落点区域作为输出，将非线性多项式作为激活函数，通过初始标定获取ELM训练数据，建立视线特征参数和视线屏幕落点之间的映射模型.实验结果表明，通过对不同角度分布的视线落点进行估计和改变隐层单元数量进行训练，基于ELM的视线落点估计方法无论视线落点精度还是稳定性均优于传统的非线性多项式拟合方法.

关键词: 视线追踪, 极限学习机, 视线落点估计, 映射模型, 多项式模型

Abstract: A novel method of gaze point estimation used in single camera system， which has faster training speed and is suitable for multiple classifications， was proposed based on ELM. In the initial calibration phase， multi gaze parameters served as ELM input， while the gaze point area was ELM output. The nonlinear polynomial was used as activation function. ELM training data was obtained through the initial calibration， and then the mapping model between the line of sight parameters and the gaze point was established. Through estimation of gaze point distribution of different angles and changing the number of hidden neurons， it was found that the accuracy and stability of gaze point obtained by ELM method are better than those obtained by traditional nonlinear polynomial model.

Key words: gaze tracking, ELM(extreme learning machine), gaze point estimation, mapping model, polynomial model

中图分类号: