CAJ | 학술논문

对于视觉控制系统而言，如何定位并追踪眼睛，判断眼睛状态是关键的一步。文中提出了一种基于OpenCV的人眼识别和跟踪方法，利用摄像头和OpenCV的相关函数在嵌入式平台上实现了人眼的识别与追踪。此外，还通过实验表明，该方法可满足对人眼的识别，且拥有较好的识别速度和识别率，故具有一定的实用性。
대우시각공제계통이언，여하정위병추종안정，판단안정상태시관건적일보。문중제출료일충기우OpenCV적인안식별화근종방법，이용섭상두화OpenCV적상관함수재감입식평태상실현료인안적식별여추종。차외，환통과실험표명，해방법가만족대인안적식별，차옹유교호적식별속도화식별솔，고구유일정적실용성。
For the visual control system , it is very important to locate and track eyes position and judge the state of eyes .A detection method for human eye identification and tracking of the video image based on OpenCV is proposed in this paper .This method combines camera equipment and OpenCV correlation function and designs a sys -tem to achieve the goal of eye detection and tracking on the embedded platform .The experimental results show this method meets requirements of human eye recognition with high recognition speed and accuracy , and is of practical value.