2013
ICCV
ICCV 2013
Predicting Primary Gaze Behavior Using Social Saliency Fields
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.
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Conference Pioneer
— ICCV 2013
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Trend Setter
— Trajectory Prediction
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Keyword Pioneer
— social scene
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Hot Topic Early Bird
— trajectory prediction
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics