Driver State Monitor from DELPHI

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2005-06-20 DOI:10.1109/CVPR.2005.135

N. Edenborough, R. Hammoud, Andrew P. Harbach, A. Ingold, B. Kisačanin, P. Malawey, T. J. Newman, Gregory K. Scharenbroch, Steven G. Skiver, Mathew R Smith, Andrew Wilhelm, Gerard J Witt, E. Yoder, Harry Zhang

引用次数: 30

Abstract

We present an automotive-grade, real-time, vision-based driver state monitor. Upon detecting and tracking the driver's facial features, the system analyzes eye-closures and head pose to infer his/her fatigue or distraction. This information is used to warn the driver and to modulate the actions of other safety systems. The purpose of this monitor is to increase road safety by preventing drivers from falling asleep or from being overly distracted, and to improve the effectiveness of other safety systems.

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来自DELPHI的驾驶员状态监视器

我们提出了一个汽车级的、实时的、基于视觉的驾驶员状态监视器。在检测和跟踪驾驶员的面部特征后，系统会分析驾驶员的闭眼和头部姿势，以推断驾驶员是否疲劳或分心。该信息用于警告驾驶员并调节其他安全系统的动作。该监视器的目的是通过防止驾驶员入睡或过度分心来提高道路安全，并提高其他安全系统的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops

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