|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Eye Tracking with Consumer Hardware
If you have a question about this talk, please contact Phil Cowans.
Present commercial gaze trackers (i.e. from Tobii and LC Technology) are easy to use, robust and sufficiently accurate for many screen-based applications but their costs exceed the budget of most people. Low cost eye tracking has received an increased attention due to the rapid developments in tracking hardware (video boards, digital camera and CPUs). Eye tracking based on consumer hardware is subject to several unknown factors as various system parameters (i.e. camera parameters and geometry) are unknown. Robust statistical principles to accommodate uncertainties in image data are therefore needed. I will discuss the components (detection, tracking and gaze estimation) used in a low-cost eye tracker. I will in particular describe our contour-based iris tracker. The contour model is based on the statistics of natural images. It turns out that through fairly simple modeling that explicit feature detection can be avoided and thus thresholds become needless. Based on the data from the eye tracker I will then discuss current gaze estimation methods and compare them with gaze estimation methods using Gaussian Processes.
This talk is part of the Inference Group series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsFestival of the Annunciation, Fitzwilliam Museum SPI Marshall Lectures
Other talksDr Leonie Unterholzner: Sensing intracellular DNA as "stranger" and "danger" signal Edge- and vertex-reinforced random walks with super-linear reinforcement on infinite graphs Understanding and manipulating the T-cell response to peptide-MHC Environmental diversity of Architecture Networks as signals: Extraction of dynamical network structures Trends in Online Payment Security