论文标题
使用橡皮纸型号的保护隐私视频
Privacy-Preserving Eye Videos using Rubber Sheet Model
论文作者
论文摘要
基于视频的眼球跟踪器根据眼睛图像/视频估算目光。由于安全和隐私涉及技术进步的迫在眉睫,因此应对此类挑战至关重要。我们通过基于橡皮纸模型在视频捕获管道中使用不同的IRIS模板替换当前可识别的IRIS纹理来处理眼视频中的隐私问题的新方法。我们扩展到图像混合和中间值表示,以证明可以操纵视频而不会显着降低细分和学生检测准确性。
Video-based eye trackers estimate gaze based on eye images/videos. As security and privacy concerns loom over technological advancements, tackling such challenges is crucial. We present a new approach to handle privacy issues in eye videos by replacing the current identifiable iris texture with a different iris template in the video capture pipeline based on the Rubber Sheet Model. We extend to image blending and median-value representations to demonstrate that videos can be manipulated without significantly degrading segmentation and pupil detection accuracy.