人工智能
计算机科学
面子(社会学概念)
特征(语言学)
人脸检测
计算机视觉
钥匙(锁)
特征提取
深度学习
模式识别(心理学)
面部表情
面部识别系统
社会科学
语言学
哲学
计算机安全
社会学
作者
Peilong Lu,Run Xue,LI Ding-kai,Zhengyi Ma
摘要
In order to avoid fatigue driving, the driver fatigue detection technology is studied by extracting facial fatigue feature parameters. Use the optimized SSD to extract facial features, use PFLD to detect key points of the face, and detect the key points and spatial attitude angles of the eyes, mouth, and head of the face; calculate the face fatigue feature parameters based on time series The matrix is input to GRU for fatigue driving detection. Compared with other eight methods in the case of low computing power, it has a high accuracy rate and detection speed, which meets the needs of the fatigue driving detection system.
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