Single Camera Face Position-Invariant Driver’s Gaze Zone Classifier Based on Frame-Sequence Recognition Using 3D Convolutional Neural Networks

Estimating the driver’s gaze in a natural real-world setting can be problematic for different challenging scenario conditions. For example, faces will undergo facial occlusions, illumination, or various face positions while driving. In this effort, we aim to reduce misclassifications in driving situ...

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Detalles Bibliográficos
Autores principales: Lollett, Catherine, Kamezaki, Mitsuhiro, Sugano, Shigeki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370862/
https://www.ncbi.nlm.nih.gov/pubmed/35957412
http://dx.doi.org/10.3390/s22155857

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370862/
https://www.ncbi.nlm.nih.gov/pubmed/35957412
http://dx.doi.org/10.3390/s22155857

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