Automatic mapping of gaze position coordinates of eye-tracking glasses video on a common static reference image

Adam Bykowski, Szymon Kupiński
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引用次数: 5

Abstract

This paper describes a method for automatic semantic gaze mapping from video obtained by eye-tracking glasses to a common reference image. Image feature detection and description algorithms are utilized to find the position of subsequent video frames and map corresponding gaze coordinates on a common reference image. This process allows aggregate experiment results for further experiment analysis and provides an alternative for manual semantic gaze mapping methods.
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眼球追踪眼镜视频注视位置坐标在普通静态参考图像上的自动映射
本文描述了一种从眼动追踪眼镜获取的视频到公共参考图像的自动语义凝视映射方法。图像特征检测和描述算法用于找到后续视频帧的位置,并将相应的凝视坐标映射到公共参考图像上。该过程允许汇总实验结果以进行进一步的实验分析,并为手动语义注视映射方法提供替代方案。
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