基于普拉特价值图的视频分割

2009 19th International Conference Radioelektronika Pub Date : 2009-04-22 DOI:10.1109/RADIOELEK.2009.5158758

M. Hagara, Adam Hlavatovic

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引用次数: 4

摘要

本文提出了一种新的慢动作视频片段检测方法。首先，我们在视频流的两个后续图像中检测边缘。为了比较这些边缘图像，我们计算了普拉特的价值值。在边缘检测方法中，通常采用普惠值作为性能度量。我们以不同的方式使用这个参数作为运动强度指标，高数值的价值指向视频片段在场景中没有运动或缓慢运动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Video segmentation based on Pratt's figure of merit

In our paper we present new method for detection of slow motion video segments. First we detect edges in two subsequent images from video stream. To compare these edge images we compute Pratt's figure of merit. Pratt's figure of merit is normally used as performance measure for edge detection method. We use this parameter in different way as motion intensity indicator, high values of figure of merit point to video segments with either no motion or slow motion in scene.

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来源期刊

2009 19th International Conference Radioelektronika

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