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Proceedings Paper

Eye positioning based on windowed gray-scale integral projection algorithm
Author(s): Jianmin Zhou; Faling Wang; Chenchen Zhang; Xiaosu Liao
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Paper Abstract

Eye positioning is an important prerequisite for vehicle-mounted fatigue driving monitoring. In this paper, a windowed gray-scale integral projection algorithm based eye-positioning method is introduced. Firstly, the human eye is positioned by Adaboost algorithm, then the eyebrows are separated by the windowed gray-scale integral projection algorithm, consequently, the accurate positioning of human eye parts is achieved. The experimental results show that the separation effect is obvious and the speed of human eye positioning is significantly improved.

Paper Details

Date Published: 7 March 2019
PDF: 7 pages
Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 110532F (7 March 2019); doi: 10.1117/12.2511911
Show Author Affiliations
Jianmin Zhou, East China Jiaotong Univ. (China)
Faling Wang, East China Jiaotong Univ. (China)
Key Lab. of Ministry of Education for Conveyance and Equipment (China)
Chenchen Zhang, East China Jiaotong Univ. (China)
Key Lab. of Ministry of Education for Conveyance and Equipment (China)
Xiaosu Liao, East China Jiaotong Univ. (China)
Key Lab. of Ministry of Education for Conveyance and Equipment (China)


Published in SPIE Proceedings Vol. 11053:
Tenth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Jie Lin, Editor(s)

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