Paper Info
Title
Improved multi-camera 3D Eye Tracking for human-computer interface
Abstract
A human being accumulates the majority of the surrounding impressions through vision. With the ability to track and observe a user's gaze, it is possible to obtain deep insights into the person's attention and, based on the gathered information, understand his or hers behavior and actions. In this paper we present an improved Multi-Camera 3D Eye Tracking framework for human-computer interface based on an algorithm that provides automated control of a Pan-Tilt camera (PTC) to follow a person's eye. We employ a fixed 3D wide-angle depth sensor (Kinect) in order to determine the position of the human face and its features, most importantly the eyes. By means of the supervised descent method (SDM), we compute correctly the position of the two eyes using 6 landmarks for each eye and the position of the head. Then, an active pan-tilt camera is oriented to one of the users' eyes, and in this way, a high-precision eye tracking is accomplished.
Year
DOI
Venue
2015
10.1109/IDAACS.2015.7340743
2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
Keywords
Field
DocType
eye tracking,kinect,multi-camera system,pan-tilt unit,calibration
Computer vision,Supervised descent method,Multi camera,Computer graphics (images),Gaze,Computer science,Tracking system,Eye tracking,Artificial intelligence,Automated control
Conference
Volume
ISBN
Citations 
1
978-1-4673-8359-2
1
PageRank 
References 
Authors
0.36
6
2
Name
Order
Citations
PageRank
Stanislav Panev183.57
Agata Manolova2137.84