A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence

• URL: http://arxiv.org/abs/2003.08134v1
• Date: Wed, 18 Mar 2020 10:25:27 GMT
• Title: A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence
• Authors: Chen Zhang, Xiaobo Lu, Zhiliang Huang
• Abstract summary: This paper develops a real-time fatigue state recognition algorithm based on a sequence of features. Experiments show that the algorithm has the advantages of small volume, high speed and high accuracy.
• Score: 22.71097598048225
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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