从车载摄像头图像中识别雨天天气,以辅助驾驶员

Hiroyuki Kurihata, Tomokazu Takahashi, I. Ide, Y. Mekada, H. Murase, Y. Tamatsu, T. Miyahara
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引用次数: 156

摘要

本文提出了一种基于车载摄像头图像的天气识别方法,该方法利用子空间方法通过检测挡风玻璃上的雨滴来判断下雨天气。“特征雨滴”表示在学习阶段从雨滴图像中提取的主成分。然后,该方法通过模板匹配来检测雨滴。在实际视频序列的实验中,我们的方法显示了良好的雨滴检测能力,并且从检测结果判断降雨的效果很好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rainy weather recognition from in-vehicle camera images for driver assistance
We propose a weather recognition method from in-vehicle camera images that uses a subspace method to judge rainy weather by detecting raindrops on the windshield. "Eigendrops" represent the principal components extracted from raindrop images in the learning stage. Then the method detects raindrops by template matching. In experiments using actual video sequences, our method showed good detection ability of raindrops and promising results for rainfall judgment from detection results.
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