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User's Gaze Tracking System and Its Application Using Head Pose Estimation

Title
User's Gaze Tracking System and Its Application Using Head Pose Estimation
Authors
Kim, HyundukSohn, Myoung-KyuKim, Dong-JuRyu, Nuri
DGIST Authors
Kim, Hyunduk; Sohn, Myoung-Kyu; Kim, Dong-Ju; Ryu, Nuri
Issue Date
2014
Citation
2nd IEEE International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014, 166-171
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
In many practical situations, a desirable user interface to a computer system should have a model of where a person is looking at and what user is paying attention to. This is particularly important if a system is providing multi modal communication cues, speech, gesture and the system must identify, whether the cues are aimed at it, or at someone else in the room. In this paper, we describes a system that identifies user focus of attention by visually determining where a person is looking. Our system consists of three steps. First, the head region was estimated and tracked from color image and depth map. Second, the position and orientation of head was estimated using random forests classifier. Due to this classifier, system can be operated in real time and deal with the large set of training data. Finally, calculate the position of user's gaze on the display device. © 2014 IEEE.
URI
http://hdl.handle.net/20.500.11750/3763
DOI
10.1109/AIMS.2014.48
Publisher
Institute of Electrical and Electronics Engineers Inc.
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers


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