NDLI: Model-Based Gaze Direction Estimation in Office Environment

Content Provider	IEEE Xplore Digital Library
Author	Do Joon Jung Kyung Su Kwon Se Hyun Park Jong Bae Kim Hang Joon Kim
Copyright Year	2008
Description	Author affiliation: Kyungpook Nat. Univ., Daegu (Do Joon Jung; Kyung Su Kwon)
Abstract	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 direction estimation quality.
Starting Page	470
Ending Page	473
File Size	647996
Page Count	4
File Format	PDF
ISBN	9780769531106
DOI	10.1109/DELTA.2008.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hair Head Shape Humans Electronic equipment testing Bayesian Network Image sequences Face detection Application software Bayesian methods Gaze Direction Estimation Facial features Overlapped Elliptical Head Model
Content Type	Text
Resource Type	Article

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