Abstract
Estimating the focus of attention of a person highly depends on her/his gaze directionality. Here, we pro- pose 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, with- out 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 normalweb-camera. Our system is aimed at functioning in a human-computer interaction environment, considering a per- son is facing amonitorwith a camera adjusted on top. To this aim, we propose in this paper two novel techniques, based on local and appearance information, estimating head rota- tion, and we adaptively fuse them in a common framework. The system is able to recognize head rotational movement, under translationalmovements of the user towards any direc- tion, without any knowledge or a-priori estimate of the user’s distance from the camera or camera intrinsic parameters.
Original language | English |
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Pages (from-to) | 293-316 |
Number of pages | 24 |
Journal | International Journal of Computer Vision |
Volume | 107 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Keywords
- Eye Gaze estimation
- Face tracking
- Facial feature detection
- Facial feature tracking
- Head pose estimation
- Human computer interaction
- User attention estimation