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A Simple Change Comparison Method for Image Sequences Based on Uncertainty Coefficient

机译:基于不确定度系数的图像序列变化比较简单方法

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For identification of change information in image sequences, most studies focus on change detection in one image sequence, while few studies have considered the change level comparison between two different image sequences. Moreover, most studies require the detection of image information in details, for example, object detection. Based on Uncertainty Coefficient(UC), this paper proposes an innovative method “CCUC” for change comparison between two image sequences. The proposed method is computationally efficient and simple to implement. The change comparison stems from video monitoring system. The limited number of provided screens and a large number of monitoring cameras require the videos or image sequences ordered by change level. We demonstrate this new method by applying it on two publicly available image sequences. The results are able to show the method can distinguish the different change level for sequences.
机译:为了识别图像序列中的变化信息,大多数研究集中于一个图像序列中的变化检测,而很少有研究考虑两个不同图像序列之间的变化水平比较。此外,大多数研究要求详细检测图像信息,例如物体检测。基于不确定度系数(UC),提出了一种创新的方法“ CCUC”用于两个图像序列之间的变化比较。该方法计算效率高,易于实现。变化比较来自视频监控系统。提供的屏幕数量有限,并且监视摄像机数量众多,因此需要按更改级别对视频或图像序列进行排序。我们通过将其应用于两个公开可用的图像序列来演示此新方法。结果能够表明该方法可以区分序列的不同变化水平。

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