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- W4206836842 abstract "Major reasons for traffic accidents all over the world are mostly because of drivers' fatigue and lack of concentration. In this study, the detection and tracking of the drivers' faces in video based images were realized by using AdaBoost algorithm. The eye area was detected by using Principle Component Analysis (PCA). A predictive system was developed analyzing the eye closure of the drivers'. The system used PERCLOS (Percentage of eye closure) and it was tested on UCLA database." @default.
- W4206836842 created "2022-01-26" @default.
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- W4206836842 date "2019-05-02" @default.
- W4206836842 modified "2023-10-01" @default.
- W4206836842 title "Development of Driver Fatigue Detection System By Using Video Images" @default.
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- W4206836842 doi "https://doi.org/10.54856/jiswa.201905054" @default.
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