论文标题
基于时空特征序列的驾驶员疲劳识别算法
A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence
论文作者
论文摘要
研究表明，疲劳驾驶是道路交通事故的重要原因之一，因此研究驾驶员疲劳识别算法以提高道路交通安全是很重要的。近年来，随着深度学习的发展，模式识别领域已成为巨大的发展。本文设计了一种基于时空特征序列的实时疲劳状态识别算法，可以主要应用于疲劳驾驶识别的现场。该算法分为三个任务网络：面部检测网络，面部地标检测和头部姿势估计网络，疲劳识别网络。实验表明，该算法具有较小体积，高速和高精度的优势。
Researches show that fatigue driving is one of the important causes of road traffic accidents, so it is of great significance to study the driver fatigue recognition algorithm to improve road traffic safety. In recent years, with the development of deep learning, the field of pattern recognition has made great development. This paper designs a real-time fatigue state recognition algorithm based on spatio-temporal feature sequence, which can be mainly applied to the scene of fatigue driving recognition. The algorithm is divided into three task networks: face detection network, facial landmark detection and head pose estimation network, fatigue recognition network. Experiments show that the algorithm has the advantages of small volume, high speed and high accuracy.
