Visual focus of attention in non-calibrated environments using gaze estimation

Asteriadis, Stylianos and Karpouzis, Kostas and Kollias, Stefanos (2014) Visual focus of attention in non-calibrated environments using gaze estimation. International Journal of Computer Vision, 107 (3). pp. 293-316. ISSN 0920-5691

Full content URL: https://doi.org/10.1007/s11263-013-0691-3

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Abstract

Estimating the focus of attention of a person highly depends on her/his gaze directionality. Here, we propose
a new method for estimating visual focus of attention using head rotation, as well as fuzzy fusion of head rotation
and eye gaze estimates, in a fully automatic manner, without the need for any special hardware or a priori knowledge
regarding the user, the environment or the setup. Instead, we propose a system aimed at functioning under unpretending conditions, only with the usage of simple hardware, like a normal web-camera. Our system is aimed at functioning in a human-computer interaction environment, considering a person is facing a monitor with a camera adjusted on top. To this aim, we propose in this paper two novel techniques, based on local and appearance information, estimating head rotation, and we adaptively fuse them in a common framework.
The system is able to recognize head rotational movement, under translational movements of the user towards any direction, without any knowledge or a-priori estimate of the user’s distance from the camera or camera intrinsic parameters.

Keywords:head pose estimation, user attention estimation, facial feature tracking, eye gaze estimation, deep neural networks, NotOAChecked
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:25833
Deposited On:20 Jan 2017 11:58

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