A joint cascaded framework for simultaneous eye detection and eye state estimation

@article{Gou2017AJC,
  title={A joint cascaded framework for simultaneous eye detection and eye state estimation},
  author={Chao Gou and Yue Wu and Kang Wang and Kunfeng Wang and Fei-Yue Wang and Qiang Ji},
  journal={Pattern Recognition},
  year={2017},
  volume={67},
  pages={23-31}
}
Eye detection and eye state (close/open) estimation are important for a wide range of applications, including iris recognition, visual interaction and driver fatigue detection. Current work typically performs eye detection first, followed by eye state estimation by a separate classifier. Such an approach fails to capture the interactions between eye… CONTINUE READING