@inbook{c251c0b8c7b14b00b03aa1884495fceb,
title = "Practical gaze detection by auto pan/tilt vision system",
abstract = "This paper presents a practical method for detecting the point in the monitor where a user gazes by moving his face and eyes. Previous gaze detection system uses a wide view camera, which can capture the whole face of user. In such case, the image resolution is so low that the fine movements of user's eye cannot be exactly detected and the accurate eye gaze position cannot be located consequently. So, we implement the gaze detection system with a wide view camera and a narrow view camera. Because the narrow view camera captures the eye image with high magnification, the eye position easily escapes from the narrow view camera by user's facial movements. For these reasons, we adopt the functionalities of auto focusing and auto panning/tilting into the narrow view camera and those are performed based on the information of the detected 3D facial feature positions by the wide view camera. As experimental results, our gaze detection system operates in real-time and the gaze detection accuracy between the computed positions and the real ones is about 3.57 cm of RMS error.",
keywords = "Gaze detection, Wide View and Narrow View Camera",
author = "Park, {Kang Ryoung}",
year = "2003",
doi = "10.1007/978-3-540-39737-3_47",
language = "English",
isbn = "3540204091",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "372--380",
editor = "Adnan Yazici and Cevat Sener",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}