Hi!
I am trying to develop a (to be open sourced) system that will do pupil detection. There are a huge number of datasets containing tagged images. I have also seen a couple of datasets containing videos, tagged with the position of the head, etc, like the Boston and HPEG datasets.
However, I would like to know if there is any dataset available with videos tagged with the position of the pupil.
Thanks!
Taken from PDF [1]:
For our evaluation we have chosen the BioID database, since it is the most challenging set of images for eye centre localisation and many recent results are available. The database consists of 1521 grey level images of 23 different subjects and has been taken in different locations and at different daytimes, which result in variable illumination conditions comparable to outdoor scenes. In addition to the changes in illumination, the position of the subjects change as well as their pose. Moreover, several subjects wear glasses and some subjects have curled hair near to the eye centres. In some images the eyes are closed and the head is turned away from the camera or strongly affected by shadows. In few images the eyes are even completely hidden by strong reflections on the glasses. Because of these conditions, the BioID database is considered as one the most challenging database that reflects realistic conditions. The image quality and the image size (286 384) is approximately equal to the quality of a low-resolution webcam. The left and right eye centres are annotated and provided together with the images.
[1]Timm, F., & Barth, E. (2011). Accurate Eye Centre Localisation by Means of Gradients. In VISAPP (pp. 125-130).
Hi, thanks for the suggestion. I am familiar with the BioID database, as it is used in most of the research articles related to eye/gaze tracking. However, this database consists of standalone images (there are groups of images, but not in a specific sequence). So, it is not possible to test temporal optimizations (taking into account the positions in the previous frames).
Asked: 2013-07-01 19:01:50 -0600
Seen: 430 times
Last updated: Jul 02 '13
