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On a Method to Eliminate Moving Shadows in Video Sequences

机译:一种消除视频序列中运动阴影的方法

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We present a simple computational model that works in the RGB colour space to detect moving shadow pixels in video sequences of indoor scenes, illuminated in each case by an incandescent source. A channel ratio test for shadows cast on some common indoor surfaces is proposed that can be appended to the developed scheme so as to reduce the otherwise high false detection rate. The core method, based on a Lambertian hypothesis, has been adapted to work well for near-matte surfaces by suppressing highlights. The results reported, based on an extensive data analysis conducted on some of the crucial parameters involved in the model, not only bring out the subtle details of the parameters, but also remove the ad hoc nature of the chosen thresholds to a certain extent. The method has been tested on various indoor video sequences; the results obtained indicate that it can be satisfactorily used to mark or eliminate the strong portion of the foreground shadow region.
机译:我们提供了一个简单的计算模型,该模型可在RGB颜色空间中工作,以检测室内场景视频序列中的运动阴影像素,这些场景在每种情况下均由白炽灯源照明。提出了对投射在一些常见室内表面上的阴影的通道比测试,可以将其附加到已开发的方案中,以减少否则较高的错误检测率。基于朗伯假设的核心方法已经通过抑制高光而适用于近哑表面。报告的结果基于对模型中涉及的某些关键参数进行的广泛数据分析,不仅显示出参数的细微细节,而且在一定程度上消除了所选阈值的特殊性质。该方法已经在各种室内视频序列上进行了测试;获得的结果表明,它可以令人满意地用于标记或消除前景阴影区域的强烈部分。

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