3D Gaze Tracking and Automatic Gaze Coding from RGB-D Cameras

Gaze is recognised as one of the most important cues for the analysis of the cognitive behaviors of a person such as the attention displayed towards objects or people, their interactions, functionality and causality patterns. In this short paper, we present our investigations towards the development of 3D gaze sensing solutions from consumer RGB-D sensors, including their use for the inference of visual attention in natural dyadic interactions and the resources we have made or will make available to the community.


Présenté à:
IEEE Conference in Computer Vision and Pattern Recognition, Vision Meets Cognition Workshop, Columbus, Ohio, USA
Année
2014
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 Notice créée le 2014-07-19, modifiée le 2019-03-16

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