Visual Focus of Attention in Non-calibrated Environments using Gaze Estimation

  • Authors:
  • Stylianos Asteriadis;Kostas Karpouzis;Stefanos Kollias

  • Affiliations:
  • Image, Video and Multimedia Systems Lab, National Technical University of Athens, Athens, Greece 157 80;Image, Video and Multimedia Systems Lab, National Technical University of Athens, Athens, Greece 157 80;Image, Video and Multimedia Systems Lab, National Technical University of Athens, Athens, Greece 157 80

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 2014

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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.