Blink Detection Using 3D Cross Model
In this paper, we present a new method based on a novel 3D cross model for detecting human eye blinks. Firstly, an initial frontal face is given to constructe the 3D cross model, which represents the head. By using the method of optical flow, the 3D cross model can track the head motion in real-time without the effects of self-occlusion and head large motion. According to the horizontal information of 3D cross model, the position of eyes can be located dynamically and accurately in each frame. The number of pixels whose gray values less than a certain threshold is calculated when the eye is open and close respectively. By comparing the different nums, the eyes status can be detected. Experimental results show that the method can efficiently achieved an overall accuracy of 99.24％ in realtime.
blink detection 3D cross model head tracking
Yifei Xu Yibin Jiang Yaoru Sun
Department of Computer Science and Technology University of Tongji Shanghai, China School of Mechanical Engineering University of Tongji Shanghai, China
国际会议
杭州
英文
693-696
2012-10-28（万方平台首次上网日期，不代表论文的发表时间）