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Detection of unfocused raindrops on a windscreen using low level image processing

机译:使用低级图像处理检测挡风玻璃上未聚焦的雨滴

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摘要

In a scene, rain produces a complex set of visual effects. Obviously, such effects may infer failures in outdoor vision-based systems which could have important side-effects in terms of security applications. For the sake of these applications, rain detection would be useful to adjust their reliability. In this paper, we introduce the problem (almost unprecedented) of unfocused raindrops. Then, we present a first approach to detect these unfocused raindrops on a transparent screen using a spatio-temporal approach to achieve detection in real-time. We successfully tested our algorithm for Intelligent Transport System (ITS) using an on-board camera and thus, detected the raindrops on the windscreen. Our algorithm differs from the others in that we do not need the focus to be set on the windscreen. Therefore, it means that our algorithm may run on the same camera sensor as the other vision-based algorithms.
机译:在一个场景中,雨水会产生一系列复杂的视觉效果。显然,这种影响可能会导致基于室外视觉的系统出现故障,这可能会在安全应用方面产生重要的副作用。为了这些应用,雨水检测将有助于调整其可靠性。在本文中,我们介绍了注意力不集中的雨滴问题(几乎是前所未有的)。然后,我们提出使用时空方法在透明屏幕上检测这些未聚焦雨滴的第一种方法,以实现实时检测。我们使用车载摄像头成功测试了智能运输系统(ITS)的算法,从而检测了挡风玻璃上的雨滴。我们的算法不同于其他算法,因为我们不需要将焦点设置在挡风玻璃上。因此,这意味着我们的算法可以与其他基于视觉的算法在同一相机传感器上运行。

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