A Novel Approach to Real-time Non-intrusive Gaze Finding

We investigate a holistic approach to real-time gaze tracking by means of a well-defined neural network modelling strategy combined with robust image processing algorithms. Based on captured greyscale eye images, the system effectively learns the gaze direction of a human user by modelling implicitly corresponding eye appearance

• Type: Conference
• Year: 1998
• Where: BMVC
• Authors: Li-Qun Xu, Dave Machin, Phil Sheppard
• Keywords: BMVC 1998, Computer Vision, Gaze, Gaze Direction, Real-time Gaze Tracking