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Model-Based Gaze Direction Estimation in Office Environment
January 23-January 25
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DELTA.2008.204th IEEE International Symposium on E ...
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Do Joon Jung, Kyung Su Kwon, Se Hyun Park, Jong Bae Kim, Hang Joon Kim, "Model-Based Gaze Direction Estimation in Office Environment," Electronic Design, Test and Applications, IEEE International Workshop on, pp. 470-473, 4th IEEE International Symposium on Electronic Design, Test and Applications (delta 2008), 2008.
 
 
BibTex
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@article{ 10.1109/DELTA.2008.20,
author = {Do Joon Jung and Kyung Su Kwon and Se Hyun Park and Jong Bae Kim and Hang Joon Kim},
title = {Model-Based Gaze Direction Estimation in Office Environment},
journal ={Electronic Design, Test and Applications, IEEE International Workshop on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3110-6},
pages = {470-473},
doi = {http://doi.ieeecomputersociety.org/10.1109/DELTA.2008.20},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Electronic Design, Test and Applications, IEEE International Workshop on
TI - Model-Based Gaze Direction Estimation in Office Environment
SN - 978-0-7695-3110-6
SP470
EP473
A1 - Do Joon Jung,
A1 - Kyung Su Kwon,
A1 - Se Hyun Park,
A1 - Jong Bae Kim,
A1 - Hang Joon Kim,
PY - 2008
KW - Gaze Direction Estimation
KW - Overlapped Elliptical Head Model
KW - Bayesian Network
VL - 0
JA - Electronic Design, Test and Applications, IEEE International Workshop on
ER -
 
In this paper, we present a model-based approach for gaze direction estimation in office environment. An overlapped elliptical model is used in detection of head, and Bayesian network model is used in estimation of gaze direction. The head consists of two regions which are face and hair region, and it can be represented by two overlapped ellipses. We use its spatial layout based on relative angle of two ellipses and size ratio of two ellipses as prior information for gaze direction estimation. In an image, the face regions are detected based on color and shape information, the hair regions are detected based on color information. The head is tracked by mean shift algorithm and adjustment method for image sequence. The performance of the proposed approach is illustrated on various image sequences obtained from office environment, and we show goodness of gaze directionestimation quality.
Index Terms:
Gaze Direction Estimation, Overlapped Elliptical Head Model, Bayesian Network
Citation:
Do Joon Jung, Kyung Su Kwon, Se Hyun Park, Jong Bae Kim, Hang Joon Kim, "Model-Based Gaze Direction Estimation in Office Environment," delta, pp.470-473, 4th IEEE International Symposium on Electronic Design, Test and Applications (delta 2008), 2008
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