摘要
传统算法通常需在头部稳定或光线明亮的情况下进行,较难在自然条件下对多姿态头部运动时的人眼进行跟踪。针对该问题,提出基于Kinect传感器的瞳孔定位算法,使用三维主动表观模型(AAM)对眼轮廓匹配得到眼部特征点,粗定位分割出眼睛,再对瞳孔进行精确定位。实验表明:在多姿态与头部带有遮挡物的情况下仍能较好地跟踪和定位人眼。
Traditional pupil localization algorithm can only be applied while head is stable or lighting condition is bright,so it is difficult to track human eye in multipose head movement. Aiming at this problem,propose pupil localization algorithm based on Kinect sensor,establish a 3D active appearance model（ AAM） to match bounding of eyes to obtain feature points,coarse positioning is carried out to segment eye,then pupil accurate positioning is carried out. Experimental results show that the proposed method can still track and locate human eye in condition of multipose and head is sheltered.
出处
《传感器与微系统》
CSCD
2015年第2期125-128,共4页
Transducer and Microsystem Technologies
基金
上海市科学技术委员会资助项目(12441903500)
交通运输部科技项目(2012-319-810-190)
关键词
瞳孔定位
主动表观模型
人机交互
图像处理
pupil localization
active appearance model（AAM）
human-computer interaction
image processing
