Multiple main user recognition

摘要

We present a method for selecting main users among multiple candidates. For human-machine interaction, a machine choose a single or multiple users to interact with them. The proposed method provides an ordered user probability that indicates whether one can be a main user. We estimate various features such as distance to a user, eye detection, gaze direction, moving velocity, and acceleration. Experiments show that our algorithm effectively differentiates main users from the others.