Eye positioning based on windowed gray-scale integral projection algorithm

Jianmin Zhou; Faling Wang; Chenchen Zhang; Xiaosu Liao

doi:10.1117/12.2511911

7 March 2019 Eye positioning based on windowed gray-scale integral projection algorithm

Jianmin Zhou, Faling Wang, Chenchen Zhang, Xiaosu Liao

Proceedings Volume 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation; 110532F (2019) https://doi.org/10.1117/12.2511911
Event: 10th International Symposium on Precision Engineering Measurements and Instrumentation (ISPEMI 2018), 2018, Kunming, China

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.

Citation Download Citation

Jianmin Zhou, Faling Wang, Chenchen Zhang, and Xiaosu Liao "Eye positioning based on windowed gray-scale integral projection algorithm", Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 110532F (7 March 2019); https://doi.org/10.1117/12.2511911

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