基于FPGA与投影算法的快速眼动跟踪系统实现

中文摘要: 以视觉刺激的方式给被测者眼动任务，并使用高速摄像系统来跟踪被测对象的眼动轨迹，可以获知其心理行为，在心理研究领域具有非常重要的作用。本文介绍了一种基于FPGA硬件和投影算法的眼动跟踪系统，通过LUPA300高速CMOS图像传感器采集眼动图像，利用FPGA实现投影算法从连续的视频帧中获取人眼瞳孔与反射斑的坐标。为提高跟踪的准确程度，包括二值化与数学形态学腐蚀膨胀运算被用于预处理，最终实现了快速瞳孔与反射斑的定位。结果表明，FPGA执行快速投影跟踪算法，可以获得可靠的跟踪准确性，在跟踪算法中利用FPGA对图像首先进行二值化及腐蚀膨胀预处理，可以达到更好的效果。本系统构成简单，实现了实时跟踪，结果准确，为高速眼动跟踪提供了一种新的有效实现方法。
Abstract:Assigning an eye task with visual stimulation and tracking the eye movement is a channel to acquire the examinees’ psychological behaviors, which plays a critical part in the fields of psychological research. In this study, an eye-tracking system based on FPGA hardware and projection algorithm is proposed. It captures video via LUPA300 high-speed CMOS and obtains the motion of eye pupil and bright spot through the continuous video frames by using a FPGA implemented a projection algorithm. To obtain a reliable tracking accuracy, a binarization and mathematical morphology operation (corrosion and expansion) are adopted as a pre-procession step. The results show that FPGA can implement projection algorithm to track eye motion at high speed, the binarization and corrosion expansion pretreatment can improve the tracking accuracy effectively. The system is easy to achieve the real time tracking, and provides an new method for eye movement tracking at high speed.