Eye gaze estimation via images has been well investigated and all methods worked on images with the full face. This makes the eye details small and accuracy is affected. We address this problem by zooming in on a single eye. In this paper, we will show the validity of the method and investigate the performance with controlled synthetic data and also with real images. The principle is to rely on...

The ability to control egomotion using low resolution peripheral vision is crucial for enabling a small high resolution fovea to attend to features that require detailed examination. The bee-bot demonstrates the ability to use low resolution motion vision over large elds of view to steer between obstacles. The system uses the maximum ow observed in left and right peripheral visual elds to indic...

We propose a new remote gaze tracking system as an intelligent TV interface. Our research is novel in the following three ways: first, because a user can sit at various positions in front of a large display, the capture volume of the gaze tracking system should be greater, so the proposed system includes two cameras which can be moved simultaneously by panning and tilting mechanisms, a wide vie...

Point-of-gaze estimation systems estimate the point within the visual field that is imaged on the highest acuity region of the retina known as the fovea. A new method has been introduced that estimates point-of-gaze by exploiting the invariance property of cross-ratios in projective transformations [1]. The projective transformation is formed by two perspective projections. The first projection...

To build smart human interfaces, it is necessary for a system to know a user’s intention and point of attention. Since the motion of a person’s head pose and gaze direction are deeply related with his/her intention and attention, detection of such information can be utilized to build natural and intuitive interfaces. In this paper, we describe our real-time stereo face tracking and gaze detecti...

Facial pose and gaze point are fundamental to any visually directed human-machine interface. In this paper, we propose a system capable of tracking a face and estimating the 3-D pose and the gaze point all in a real-time video stream of the head. This is done by using a 3-D model together with multiple triplet triangulation of feature positions assuming an affine projection. Using feature-based...

Many cameras implement auto-focus functionality; however, they typically require the user to manually identify the location to be focused on. While such an approach works for temporally-sparse autofocusing functionality (e.g., photo shooting), it presents extreme usability problems when the focus must be quickly switched between multiple areas (and depths) of interest – e.g., in a gaze-based au...

Gaze direction determination of opponents and teammates is a very important ability for any soccer player, human or robot. However, this ability is still not developed in any of the RoboCup soccer leagues. We aim at reverting this situation by proposing a gaze direction determination system for robot soccer; the system is designed primarily for the four-legged league, but it could be extended t...

Purpose Shifting the region-of-interest within the input image to compensate for gaze shifts ("gaze compensation") may improve hand-eye coordination in visual prostheses that incorporate an external camera. The present study investigated the effects of eye movement on hand-eye coordination under simulated prosthetic vision (SPV), and measured the coordination benefits of gaze compensation. Me...

An active vision system for saccadic camera gaze shifts and explorative scene analysis as a new integral approach to image understanding is proposed. The model includes several subsystems: preattentive peripheral feature detection, multi resolution foveal image identiication based on a hypercolumnar representation and object recognition by means of two memories for foveal identiications and xat...