Augmented saliency model using automatic 3D head pose detection and learned gaze following in natural scenes

doi:10.1016/j.visres.2014.10.027

Paper

Augmented saliency model using automatic 3D head pose detection and learned gaze following in natural scenes

Published Nov 1, 2015 · Daniel F. Parks, A. Borji, L. Itti

Vision Research

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Study Snapshot

Key takeawayThe Dynamic Weighting of Cues model (DWOC) effectively predicts eye movements of passive observers in natural scenes by combining bottom-up saliency, actor's head pose, and gaze direction, improving our understanding of visual attention mechanisms.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Augmented saliency model using automatic 3D head pose detection and learned gaze following in natural scenes

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