Abstract

Gaze (and its discrete version the visual focus of attention, VFOA) is acknowledged as one of the most important non-verbal cues in human communication. However, its automatic estimation is a highly challenging problem, in particular, when large user mobility is expected and minimal intrusion is required. In this talk, I will discuss these main challenges associated to this task and how we have addressed them, focusing on the recent techniques investigated to perform 3D gaze tracking from RGB-D (color and depth) cameras like the Kinect that can represent an alternative to the highly costly and/or intrusive systems currently available. The method will be illustrated using several examples from human-robot or human-human interaction analysis like automatic gaze coding of natural dyadic interactions.