一种主从摄像瞳孔实时精确检测系统

针对瞳孔实时精确检测，提出了一种主从摄像机随动跟踪人眼图像捕获系统用于捕获人眼图像.主摄像机用于定位人脸，从摄像机在云台控制下实时跟踪人眼区域并采集高分辨率人眼图像.为了提高系统的动态性能，针对来自主摄像机分辨率1280×960的人脸图像，采用了一种AdaBoost人脸检测与MOSSE目标跟踪的融合算法，实现了60 fps的人脸快速定位.采用语义分割网络对来自从摄像机的人眼图像进行瞳孔粗定位得到瞳孔感兴趣区域，对瞳孔感兴趣区域采用椭圆拟合算法进行瞳孔精检测.实验结果表明所提出的检测系统及方法可以实现18 fps的瞳孔检测，瞳孔图像有效像素可达2 500以上，检测重复性可达±1.06%. 

Real-Time Accurate Pupil Detection Based on a Master-Slave Camera System

Aiming at real-time and accurate pupil detection, a master-slave camera tracking eye image capture system was proposed to capture eye images. The master camera was arranged to locate the face, and the slave camera was arranged to track the eye area in real time under the cloud platform and to collect high-resolution eye images. In order to improve the dynamic performance of the system, a fusion algorithm of AdaBoost face detection and MOSSE target tracking was adopted for the face image with the resolution of 1280×960 from the master camera, realizing a fast face location of 60 fps. A semantic segmentation network was used to locate the pupil diameter of the eye image from the camera to obtain the region of interest of the pupil. The pupil of the interest region was detected accurately with an ellipse fitting algorithm. The experimental results show that the proposed detection system and method can achieve 18 fps pupil detection. The effective pixel of pupil image can reach more than 2 500, and the detection repeatability can reach ±1.06%.