Laser & Optoelectronics Progress, Volume. 57, Issue 6, 061019(2020)
Driving Behavior Recognition Method Based on Tutor-Student Network
This paper presents a driving behavior recognition model based on tutor-student network. Considering that driving behavior occurs in a local area, this paper divides the task of driving behavior recognition into two sub-tasks: action location and action classification. Aiming at the task of action location, a tutor network with shallow network layer receiving high-resolution image input is designed. The tutor network weakens the action area according to the response of feature map. On the basis of action location and action classification task, a student network with deeper network layer is designed to receive the input of low-resolution action area image. High-level semantic features which are extracted from student network are used to achieve high accuracy classification. Experimental results show that the tutor-student network model can bring high recognition accuracy and strong robustness.
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Jinghui Chu, Shan Zhang, Wenhao Tang, Wei Lü. Driving Behavior Recognition Method Based on Tutor-Student Network[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061019
Category: Image Processing
Received: Sep. 11, 2019
Accepted: Nov. 2, 2019
Published Online: Mar. 6, 2020
The Author Email: Lü Wei (luwei@tju.edu.cn)