ROBUST PUPIL CENTER ESTIMATION USING INPUT ESTIMATION BASED GAUSSIAN SIGNIFICANCE TEST

摘要：

In this paper a low cost pupil center locating system was introduced and target maneuver onset detection algorithm, input estimation based Gaussian significance test, was applied to estimate pupil center. Firstly, eye images were converted into Gaussian significance space of input estimate. In statistical significance space, pupil area was enhanced while other area was depressed. Secondly, threshold selected by input estimation based Gaussian significance test algorithm was used to binarize image in the space of statistical significance. At last pupil center was obtained by calculating mass center of the binarized image. Experiments showed that the proposed method was effective.

关键词： Kalman filter Gaussian significance test input estimation pupil centre

作者: M.Zhai J.M.Wu B.W.Liu

作者单位: National Key Laboratory of Science and Technology on Avionics System Integration, Shanghai, China

会议类型: 国际会议

会议名称: 2012 International Conference on System Simulation(2012年国际系统仿真学术会议)

会议地点: 上海

会议语种:英文

页码: 328-332

在线出版日期: 2012-04-06（万方平台首次上网日期，不代表论文的发表时间）