GAZE-2 is an attentive video conferencing system that conveys whom users are talking to by measuring whom a user looks at and then rotating his video image towards that person in ...
Abstract. A model of human appearance is presented for efficient pose estimation from real-world images. In common with related approaches, a high-level model defines a space of co...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
We propose to use wearable computers and sensor systems to generate personal contextual annotations in audio visual recordings of meetings. In this paper we argue that such annota...
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Millions of people post personal information on the internet, yet the actual information varies greatly. Some pieces are extremely brief, others are highly detailed. Some focus on...