As a non-invasive method, vision-based driver monitoring aims to identify risky maneuvers for intelligent vehicles and it has gained an increasing interest over recent years. However, most existing methods tend to design models for specific tasks, such as head pose or gaze estimation, which results in redundant models hampering real time applications. Besides, most driver facial monitoring methods ignore the correlation of different tasks. In this work, we propose a unified framework based on cascade learning for simultaneous facial landmark detection and head pose estimation, as well as simultaneous eye center detection and gaze estimation. In particular, built upon the key idea that facial landmark locations and 3D face model parameters are implicitly correlated, we introduce a cascade regression framework to achieve these two tasks simultaneously. After coarsely extracting the driver’s eye region from the detected facial landmarks, we perform cascade regression for simultaneous eye center detection and gaze estimation. Leveraging the power of cascade learning allows our method to alternatively optimize facial landmark detection, head pose estimation, eye center localization, and gaze prediction. The comparison experiments conducted on benchmark datasets of 300-W, GI4E, BU, MPIIGaze, and driving dataset of SHRP2 demonstrate that our proposed method can achieve state-of-the-art performance with robust effectiveness on the real driver monitoring applications.
Cascade Learning for Driver Facial Monitoring
IEEE Transactions on Intelligent Vehicles ; 8 , 1 ; 404-412
2023-01-01
8568471 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Monitoring Driver Fatigue Using Facial Analysis Techniques
British Library Conference Proceedings | 1999
|Drowsy Driver Posture, Facial, and Eye Monitoring Methods
Springer Verlag | 2012
|DRIVER MONITORING DEVICE, DRIVER MONITORING METHOD, LEARNING DEVICE, AND LEARNING METHOD
Europäisches Patentamt | 2018
|DRIVER MONITORING APPARATUS, DRIVER MONITORING METHOD, LEARNING APPARATUS, AND LEARNING METHOD
Europäisches Patentamt | 2019
|DRIVER MONITORING DEVICE, DRIVER MONITORING METHOD, LEARNING DEVICE, AND LEARNING METHOD
Europäisches Patentamt | 2018
|