疲劳预警系统,驾驶员打瞌睡使用深度图像从Kinect

Jiramet Wongphanngam, S. Pumrin
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引用次数: 9

摘要

道路交通事故的主要原因之一是驾驶员疲劳驾驶,如困倦和驾驶时注意力不集中。本文介绍了一种利用Kinect深度图像的驾驶员疲劳预警系统,该系统可以监测驾驶员的注意力,并在驾驶员打盹时提醒驾驶员。我们的算法将Kinect深度图像转换为梯度图像来检测驾驶员面部,并应用判别随机回归森林来获得头部旋转角度。用40人的4个头部位置的160张图像组成的数据集进行测量,灵敏度为93.75%。该系统可以在白天和晚上处理许多情况。对一名乘客进行真实场景测试,白天2676帧时灵敏度为94.28%,夜间2036帧时灵敏度为95.13%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fatigue warning system for driver nodding off using depth image from Kinect
One of the major road traffic accidents is from an exhausted driver such as drowsiness and a lack of attention over driving. This paper presents a driver fatigue warning system using Kinect depth image, which monitors a driver attention and alerts driver while nodding off. Our algorithm transforms Kinect depth images into gradient images to detect driver face and applies Discriminative Random Regression Forests to get angles of head rotation. The sensitivity result is 93.75% by measuring with a dataset that consists of 160 images of four head positions of 40 people. The system can handle many situations both in daytime and night time. For testing one passenger in real situations, the sensitivity results are 94.28% with 2,676 frames at daytime and 95.13% with 2,036 frames at night time.
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