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Chapter 14 A New Detecting and Tracking Method in Driver Fatigue Detection

机译:第14章驱动疲劳检测中的新检测和跟踪方法

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摘要

In order to reduce the traffic accidents caused by driver fatigue, this paper extends the TLD tracking algorithm to the case of detecting and tracking driver's face and local areas which is based on the machine vision. We address problems of detecting driver's face and local areas, which contain the driver's fatigue information, via adaboost cascade classifier based on haar-like features and track the target areas by the TLD method. The main results are given in terms of the accuracy of detecting driver's face and local areas. Lay a foundation for the driver fatigue detection.
机译:为了减少由驾驶员疲劳引起的交通事故,本文将TLD跟踪算法扩展到检测和跟踪基于机器视觉的驾驶员脸部和局部区域的情况。我们通过Adaboost级联分类器基于哈尔样特征来解决驾驶员脸部和局域地区的驾驶员脸部和本地区域的问题解决,并通过TLD方法跟踪目标区域。主要结果是以检测驾驶员脸部和当地区域的准确性给出的。为司机疲劳检测奠定基础。

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