Look at the Driver, Look at the Road: No Distraction! No Accident

• Published in: 2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 129 - 136
• Main Authors: Rezaei, Mahdi, Klette, Reinhard
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.06.2014
• Subjects: 2D to 3D modelling; Computer vision; Device driver programs; Driver behaviour monitoring; Drivers; Estimation; Face; Fuzzy; Head pose estimation; Lighting; Pattern recognition; Road safety; Roads; Shape; Solid modeling; Three dimensional; Vectors; Vehicle detection; Vehicles
• ISSN: 1063-6919; 1063-6919
• DOI: 10.1109/CVPR.2014.24

The paper proposes an advanced driver-assistance system that correlates the driver's head pose to road hazards by analyzing both simultaneously. In particular, we aim at the prevention of rear-end crashes due to driver fatigue or distraction. We contribute by three novel ideas: Asymmetric appearance-modeling, 2D to 3D pose estimation enhanced by the introduced Fermat-point transform, and adaptation of Global Haar (GHaar) classifiers for vehicle detection under challenging lighting conditions. The system defines the driver's direction of attention (in 6 degrees of freedom), yawning and head-nodding detection, as well as vehicle detection, and distance estimation. Having both road and driver's behaviour information, and implementing a fuzzy fusion system, we develop an integrated framework to cover all of the above subjects. We provide real-time performance analysis for real-world driving scenarios.