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ExCuSe: Robust Pupil Detection in Real-World Scenarios
TLDR
We present a novel algorithm for robust pupil detection in real-world scenarios, which is based on edge filtering and oriented histograms calculated via the Angular Integral Projection Function. Expand
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ElSe: ellipse selection for robust pupil detection in real-world environments
TLDR
We propose ElSe, a novel algorithm for image-based pupil detection based on ellipse evaluation of a filtered edge image. Expand
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PupilNet: Convolutional Neural Networks for Robust Pupil Detection
TLDR
In this paper, we propose and evaluate a method based on a novel dual convolutional neural network pipeline. Expand
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Bayesian identification of fixations, saccades, and smooth pursuits
TLDR
We propose the Bayesian Decision Theory Identification (I-BDT) algorithm, a novel algorithm for ternary classification of eye movements that is able to reliably separate fixations, saccades, and smooth pursuits in an online fashion. Expand
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Online Recognition of Fixations, Saccades and Smooth Pursuits for Automated Analysis of Traffic Hazard Perception
Complex and hazardous driving situations often arise with the delayed perception of traffic objects. To automatically detect whether such objects have been perceived by the driver, there is a needExpand
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PuRe: Robust pupil detection for real-time pervasive eye tracking
TLDR
We introduce the Pu pil Re constructor (PuRe), a method for pupil detection in pervasive scenarios based on a novel edge segment selection and conditional segment combination schemes; the method also includes a confidence measure for the detected pupil. Expand
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Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art
Robust and accurate detection of the pupil position is a key building block for head-mounted eye tracking and prerequisite for applications on top, such as gaze-based human–computer interaction orExpand
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CalibMe: Fast and Unsupervised Eye Tracker Calibration for Gaze-Based Pervasive Human-Computer Interaction
TLDR
We introduce CalibMe, a novel method that exploits collection markers (automatically detected fiducial markers) to allow eye tracker users to gather a large array of calibration points, remove outliers, and automatically reserve evaluation points in a fast and unsupervised manner. Expand
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Bayesian online clustering of eye movement data
TLDR
The task of automatically tracking the visual attention in dynamic visual scenes is highly challenging. Expand
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3D Gaze Estimation using Eye Vergence
TLDR
We propose a fast and robust method to estimate the 3D gaze position based on the eye vergence information extracted from eye-tracking data. Expand
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