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Design and implementation of a head-pose estimation system used with large-scale screens

Title
Design and implementation of a head-pose estimation system used with large-scale screens
Authors
Lee, Sang-HeoSohn, Myoung-KyuKim, Dong-JuKim, HyundukRyu, Nuri
DGIST Authors
Lee, Sang-HeoSohn, Myoung-Kyu
Issue Date
2013
Citation
2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013, 282-283
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
In this paper, we propose a novel head-pose estimation system for use with a large-scale screen to provide intelligent interaction with content. The head image of the user is captured from a RGB-D (red, green, blue pixel value, and depth data) camera connected to a large-scale display system. The head orientation of the user is then estimated from the RGB-D data by using the random regression forest algorithm. The random regression forest algorithm is a very powerful tool for generalization problems that does not suffer from overfitting. By using the head-pose estimation system, the user's region-of-interest (ROI) is found in a large-scale screen. After the ROI is found, various intelligent interactions with content can be possible. As future work, a hand gesture recognition system will be jointly connected with this head-pose estimation system in order to control the user's gestures more precisely in the ROI. © 2013 IEEE.
URI
http://hdl.handle.net/20.500.11750/5509
DOI
10.1109/GCCE.2013.6664827
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
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Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers


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