DocumentCode
651109
Title
Appearance-based gaze estimation using kinect
Author
Jinsoo Choi ; Byungtae Ahn ; Jaesik Parl ; In So Kweon
Author_Institution
Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear
2013
fDate
Oct. 30 2013-Nov. 2 2013
Firstpage
260
Lastpage
261
Abstract
Human gaze tracking has gathered much attention due to its capability to detect intuitive attention. Appearance-based methods can work with a single camera in ordinary conditions to track human gaze. An effective way to generate eye appearances is proposed using the Kinect. The head pose information is obtained from the Kinect after a series of calibrations. The Eye Appearance features are collected through ASM and KLT feature tracker. With 23 training samples, the error is found to be 1.07°. This paper proposes an efficient scheme for gaze tracking using a single Kinect device.
Keywords
feature extraction; object tracking; sensors; shape recognition; ASM feature tracker; KLT feature tracker; Kinect device; active shape model; appearance-based gaze estimation; eye appearance features; head pose information; human gaze tracking; List keywords here. No more than 5;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location
Jeju
Print_ISBN
978-1-4799-1195-0
Type
conf
DOI
10.1109/URAI.2013.6677362
Filename
6677362
Link To Document