期刊论文

Hongli Liu

英文

Electronics

2079-9292

2022

11

24

4103-

10.3390/electronics11244103

Data curation, B.S.; Funding acquisition, H.L.; Investigation, Z.M. and B.S.; Methodology, Z.M.; Project administration, H.L.; Software, W.X. and C.S.; Writing—original draft, W.X.; Writing—review & editing, W.C. All authors have read and agreed to the published version of the manuscript. This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 61971182 and 62173133) and by Natural Science Foundation of Hunan Province (Grant No. 2021JJ30145).

本校为其他机构

Fatigue driving behavior recognition in all-weather real driving environments is a challenging task. Accurate recognition of fatigue driving behavior is helpful to improve traffic safety. The facial landmark detector is crucial to fatigue driving recognition. However, existing facial landmark detectors are mainly aimed at stable front face color images instead of side face gray images, which is difficult to adapt to the fatigue driving behavior recognition in real dynamic scenes. To maximize the driver’s facial feature information and temporal...