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Research on the Harris algorithm of feature extraction for moving targets In the video

机译:视频中移动目标的特征提取哈里斯算法研究

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This paper studies a problem which is the rapid acquisition feature information of moving targets in a video sequence. Selecting the harris algorithm as a feature extraction algorithm, but harris algorithm has a problem of running slowly. Opting 3 × 3 window as the detection window, analyzing the similarity between the window capacity pixel and central pixel, then using the difference to measure this similarity of pixels, when the difference is greater than the set threshold value, we thought they are different, otherwise they are similar. After that characteristics of regional screening was completed. The target areas were divided into feature areas and non-feature regions, but we only calculated the response functions of characteristic areas. The algorithm's executing efficiency improved.
机译:本文研究了一个问题,它是视频序列中移动目标的快速采集特征信息。选择Harris算法作为特征提取算法,但Harris算法存在缓慢运行的问题。选择3×3窗口作为检测窗口,分析窗口容量像素和中心像素之间的相似性,然后使用差异来测量像素的这种相似性,当差异大于设定的阈值时,我们认为它们是不同的,否则它们是相似的。之后,完成区域筛查的特征。目标区域被分成特征区域和非特征区域,但我们仅计算了特征区域的响应函数。该算法的执行效率提升。

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