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- W4225523623 abstract "AbstractHead posture assessment plays a very important role in the fields of driver attention detection, driving behavior analysis, and driving habit analysis. The mainstream head posture assessment methods use cameras to capture all the driver’s front face videos, this approach has a natural drawback that it requires a lot of facially sensitive data which is contrary to the increasing awareness of privacy protection. Considering privacy protection, we innovatively apply a monocular camera to acquire an image of the driver’s head with top-down shooting view and develop a corresponding TOP OF HEAD ONLY (TOHO) algorithm to estimate the head orientation. Subsequently, the virtual scene generation technique is leveraged to generate diverse model data. The generated data is afterwards used to validate the effectiveness of the proposed TOHO algorithm. The experimental results show that the error of the head attention angle calculated by the proposed algorithm is within 15(^{circ }) compared to the labeled data.KeywordsHead pose assessmentDriver attention detectionPrivacy preservationVirtual scene generationImage processing" @default.
- W4225523623 created "2022-05-05" @default.
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- W4225523623 date "2022-01-01" @default.
- W4225523623 modified "2023-10-16" @default.
- W4225523623 title "Top-Down Driver Head Orientation Detection Method Based on Monocular Camera and Virtual Scene Generation" @default.
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- W4225523623 doi "https://doi.org/10.1007/978-981-19-2266-4_27" @default.
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