Modeling focus of attention for meeting indexing

Visual cues, such as gesturing, looking at each other or monitoring each others facial expressions, play an important role in meetings. Such information can be used for indexing of multimedia meeting recordings. In this paper, we present an approach to detect who is looking at whom during a meeting. Our proposal is to employ Hidden Markov Models to characterize participants' focus of attention by using gaze information as well as knowledge about the number and positions of people present in a meeting.