In this talk, I will present a method to predict primary gaze behavior in a social scene. Inspired by the study of electric fields, we posit “social charges”—latent quantities that drive the primary gaze behavior of members of a social group. These charges induce a gradient field that defines the relationship between the social charges and the primary gaze direction of members in the scene. This field model is used to predict primary gaze behavior at any location or time in the scene. Our algorithm estimates the time-varying behavior of these charges from the primary gaze behavior of measured observers in the scene.
Hyun Soo Park is a Ph.D. student in Mechanical Engineering at Carnegie Mellon University under the supervision of Prof. Yaser Sheikh. The main focus of his research is developing a computational basis for social scene understanding. He received his bachelor’s degree from POSTECH, Korea in 2007, and master’s degree from Carnegie Mellon University in 2009.
Host: Kris Kitani