Publication
Object Recognition System Guided by Gaze of the User with a Wearable Eye Tracker
Takumi Toyama
In: DAGM'11 Proceedings of the 33rd International Conference on Pattern Recognition. Annual Symposium of the German Association for Pattern Recognition (DAGM-11), 33rd, August 30 - September 2, Frankfurt, Germany, ISBN 978-3-642-23122-3, Springer, Berlin, 2011.
Abstract
Existing approaches for object recognition typically rely on
images captured on an ordinary digital camera and therefore the recognition
task sometimes becomes difficult when the image contains other
objects (cluttered) and the object of interest is not clearly indicated. In
this work, we integrate a wearable eye tracker into the object recognition
system in order to recognize which object the user is paying attention
to in the scene camera. To demonstrate the usability of such a gaze1
based object recognition interface, we developed a prototypical application
named Museum Guide 2.0 which can be used in a museum as a
mechanical guide for visitors.