Predicting Primary Gaze Behavior Using Social Saliency Fields - Robotics Institute Carnegie Mellon University

Predicting Primary Gaze Behavior Using Social Saliency Fields

Hyun Soo Park, Eakta Jain, and Yaser Sheikh
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 3503 - 3510, December, 2013

Abstract

We 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. We present an algorithm to estimate the time-varying behavior of these charges from the primary gaze behavior of measured observers in the scene. We validate the model by evaluating its predictive precision via cross-validation in a variety of social scenes.

BibTeX

@conference{Park-2013-122193,
author = {Hyun Soo Park and Eakta Jain and Yaser Sheikh},
title = {Predicting Primary Gaze Behavior Using Social Saliency Fields},
booktitle = {Proceedings of (ICCV) International Conference on Computer Vision},
year = {2013},
month = {December},
pages = {3503 - 3510},
}