An accurate eye localization approach for smart embedded system

Zhaoqiang Xia, Wenhao Zhang, Fang Tan, Xiaoyi Feng, Abdenour Hadid

科研成果: 书/报告/会议事项章节会议稿件同行评审

10 引用 (Scopus)

摘要

Eye localization is a vital procedure in many applications, such as face recognition and gaze tracking, and can further facilitate related procedures. Although many works have been devoted to localizing eyes in frontal facial images, most approaches cannot work effectively and efficiently in smart embedded systems (e.g., the vehicle system). In this paper, we propose an accurate eye localization approach for smart embedded systems. An illumination normalization procedure with the perception based model is utilized to remove the illumination effects of facial images. Then the integral projection method is employed to localize the candidate positions of eyes. The support vector machine (SVM) classifiers are trained with the spacial and intensity information to verify these candidates rapidly with compact 3-dimensional features. Based on the output of SVMs, the two candidates with top scores are determined as the final accurate eye positions. Extensive experiments on the extended Yale B, AR and ORL face datasets demonstrate that the proposed approach achieves good accuracy and fast computation results for localizing eyes.

源语言英语
主期刊名2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016
编辑Matti Pietikainen, Abdenour Hadid, Miguel Bordallo Lopez
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781467389105
DOI
出版状态已出版 - 17 1月 2017
活动6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016 - Oulu, 芬兰
期限: 12 12月 201615 12月 2016

出版系列

姓名2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016

会议

会议6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016
国家/地区芬兰
Oulu
时期12/12/1615/12/16

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