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Detection of Skin Region from Multiband Near-IR Spectral Characteristics

机译:从多波段近红外光谱特征检测皮肤区域

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摘要

Many active safety technologies for the driver support system are developing. Most traffic accidents are caused by the driver's inattentiveness or drowsiness. We are developing a driver support system that protects against traffic accidents due to these causes. Our purpose is to detect the driver's face region with a camera. Many face detection methods are proposed, but there is no technique addressing every environment inside the car. For example, skin color segmentation cannot detect the skin region in the night, because it has to light up the driver by bright light. In this paper, we propose a skin detection method using the unique reflection characteristics of the materials. Our method is a very simple algorithm. We developed a skin detection system, and confirmed its effectiveness by an evaluation experiment in an indoor environment, and showed its effectiveness by a nighttime driving experiment.
机译:驾驶员辅助系统的许多主动安全技术正在开发中。大多数交通事故是由于驾驶员的疏忽或睡意引起的。我们正在开发一种驾驶员支持系统,以防止由于这些原因而导致的交通事故。我们的目的是通过摄像头检测驾驶员的面部区域。提出了许多面部检测方法,但是还没有针对汽车内每个环境的技术。例如,肤色分割无法在夜间检测到皮肤区域,因为它必须通过明亮的光线照亮驾驶员。在本文中,我们提出一种利用材料独特的反射特性的皮肤检测方法。我们的方法是一个非常简单的算法。我们开发了皮肤检测系统,并通过室内环境下的评估实验确认了其有效性,并通过夜间驾驶实验证明了其有效性。

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