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ExCuSe: Robust Pupil Detection in Real-World Scenarios
- Wolfgang Fuhl, Thomas C. Kübler, Katrin Sippel, W. Rosenstiel, Enkelejda Kasneci
- Computer ScienceCAIP
- 2 September 2015
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, is presented.
ElSe: ellipse selection for robust pupil detection in real-world environments
- Wolfgang Fuhl, Thiago Santini, Thomas C. Kübler, Enkelejda Kasneci
- Computer ScienceETRA
- 20 November 2015
ElSe, a novel algorithm based on ellipse evaluation of a filtered edge image that can be integrated in embedded architectures, e.g., driving, is proposed and evaluated against four state-of-the-art methods.
PupilNet: Convolutional Neural Networks for Robust Pupil Detection
- Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci, Enkelejda Kasneci
- Computer ScienceArXiv
- 19 January 2016
A method based on a novel dual convolutional neural network pipeline is proposed and evaluated, resulting in an increased pupil detection rate up to 25% in comparison with the best performing state-of-the-art algorithm.
Driving with Binocular Visual Field Loss? A Study on a Supervised On-Road Parcours with Simultaneous Eye and Head Tracking
The hypothesis that the extent of visual field per se cannot predict driving fitness is supported, because some patients with HVFDs and advanced glaucoma can compensate for their deficit by effective visual scanning.
Bayesian identification of fixations, saccades, and smooth pursuits
- Thiago Santini, Wolfgang Fuhl, Thomas C. Kübler, Enkelejda Kasneci
- Computer ScienceETRA
- 24 November 2015
The Bayesian Decision Theory Identification (I-BDT) algorithm is proposed, a novel algorithm for ternary classification of eye movements that is able to reliably separate fixations, saccades, and smooth pursuits in an online fashion, even for low-resolution eye trackers.
PuRe: Robust pupil detection for real-time pervasive eye tracking
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 need…
Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art
- Wolfgang Fuhl, Marc Tonsen, A. Bulling, Enkelejda Kasneci
- Computer ScienceMachine Vision and Applications
- 1 November 2016
The experimental results show that the algorithm ElSe (Fuhl et al. 2016) outperforms other pupil detection methods by a large margin, offering thus robust and accurate pupil positions on challenging everyday eye images.
CalibMe: Fast and Unsupervised Eye Tracker Calibration for Gaze-Based Pervasive Human-Computer Interaction
CalibMe is introduced, 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.
Bayesian online clustering of eye movement data
A Bayesian online learning algorithm is proposed, based on a mixture model, that can identify and tell visual saccades from visual fixation clusters (regions of interest) in dynamic visual scenes.