Image processing for improved eye-tracking accuracy

Image processing for improved eye-tracking accuracy.

Video cameras provide a simple, noninvasive method for monitoring a subject's eye movements. An important concept is that of the resolution of the system, which is the smallest eye movement that can be reliably detected. While hardware systems are available that estimate direction of gaze in real-time from a video image of the pupil, such systems must limit image processing to attain real-time ...

Graphical Processing Unit Assisted Image Processing for Accelerated Eye Tracking

Eye tracking is a well-established tool utilised in research areas such as neuroscience, psychology and marketing. There are currently many different types of eye trackers available, the most common being video-based remote eye trackers. Many of the currently available remote eye trackers are either expensive, or provide a relatively low sampling frequency. The goal of this dissertation is to p...

Eye Tracking Based Saliency for Automatic Content Aware Image Processing

Photography provides tangible and visceral mementos of important experiences. Recent research in content-aware image processing to automatically improve photos relies heavily on automatically identifying salient areas in images. While automatic saliency estimation has achieved estimable success, it will always face inherent challenges. Tracking the photographer’s eyes allows a direct, passive m...

An improved likelihood model for eye tracking

While existing eye detection and tracking algorithms can work reasonably well in a controlled environment, they tend to perform poorly under real world imaging conditions where the lighting produces shadows and the person’s eyes can be occluded by e.g. glasses or makeup. As a result, pixel clusters associated with the eyes tend to be grouped together with background-features. This problem occur...

Cognitive Modeling and Eye Tracking (CMET): Eye Tracking Annotated Bibliography Focus: Calibration and Eye Tracker Accuracy