Eyegaze Detection from Monocular Camera Image for Eyegaze Communication System
نویسندگان
چکیده
منابع مشابه
Hands-free Interactive Image Segmentation Using Eyegaze
This paper explores a novel approach to interactive user-guided image segmentation, using eyegaze information as an input. The method includes three steps: 1) eyegaze tracking for providing user input, such as setting object and background seed pixel selection; 2) an optimization method for image labeling that is constrained or affected by user input; and 3) linking the two previous steps via a...
متن کاملQuantifying Surgeons' Vigilance during Laparoscopic Operations Using Eyegaze Tracking
The vigilance of surgeons while operating is an important consideration for patient safety. Using a lightweight mobile eyegaze tracker, we can objectively observe and quantify a surgeon's vigilance measured as the frequency and duration of time spent gazing at an anaesthesia monitor displaying various patient vital signs. Expert surgeons and training surgical residents had their eyegaze recorde...
متن کاملEye-Gaze Detection from Monocular Camera Image Using Parametric Template Matching
In the coming ubiquitous-computing society, an eyegaze interface will be one of the key technologies as an input device. Most of the conventional eyegaze tracking algorithms require specific light sources, equipments, devices, etc. In a previous work, the authors developed a simple eye-gaze detection system using a monocular video camera. This paper proposes a fast eye-gaze detection algorithm ...
متن کاملPlane Detection from Monocular Image Sequences
Planes are important geometric features and can be used in a wide range of applications. This work aims to illustrate a homography-based method to detect planes using the affine model. Using two image frames from a monocular sequence, a set of match pairs of interest points is obtained using Harris corner detector combined with the Scale Invariant Feature Transform (SIFT) as local descriptor. A...
متن کاملObstacle Detection Using a Monocular Camera
ACKNOWLEDGEMENTS I thank my research advisor, Dr. P.A. Vela for his guidance, support, and instilling in me the belief that careful modeling and persistence is key. I thank Dr. Collins for many useful comments during the writing process. I would also like to thank William Mantzel for many useful conversations regarding computer vision, and his friendship. I am grateful to my lab mates, Omar and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2010
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e93.d.134