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论文类型：期刊论文

发表时间：2010-04-01

发表刊物：SIGNAL PROCESSING

收录刊物：SCIE、EI、Scopus

卷号：90

期号：4

页面范围：1290-1299

ISSN号：0165-1684

关键字：Gaze tracking; PPBTF; LPM; SVR

摘要：This paper presents a novel eye gaze tracking method with allowable head movement based on a local pattern model (LPM) and support vector regressor (SVR). The LPM, a combination of improved pixel-pattern-based texture feature (PPBTF) and local-binary-pattern texture feature (LBP), is employed to calculate texture features from the characteristics of the eyes and a new binocular vision scheme is adopted to detect the spatial coordinates of the eyes. The texture features from LPM and the spatial coordinates together are fed into support vector regressor (SVR) to match a gaze mapping function, and subsequently to track gaze direction under allowable head movement. The experimental results show that the proposed approach results in better accuracy in estimating the gaze direction than the state-of-the-art pupil center corneal reflection (PCCR) method. (C) 2009 Elsevier B.V. All rights reserved