As more and more surveillance cameras are deployed in the Internet of Things, it takes more and more work to ensure the cameras are not occluded. An algorithm of detecting whether the surveillance camera is occluded is proposed by comparing the similarity of the images in this paper. Firstly, the background modeling method based on frame difference is improved. The combination method of the background difference and frame difference is proposed, and the experimental results showed that the combination algorithm can extract the background image of the video more quickly and accurately. Secondly, the LBP (Local Binary Patterns) algorithm is used to compare the similarity between the background image and the reference image. By changing the window size of the LBP algorithm and setting an appropriate threshold, the actual demands can be satisfied. So, the algorithms proposed in this paper have high application value and practical significance.

中文翻译：

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监控摄像机的遮挡检测算法

随着越来越多的监视摄像机部署在物联网中，需要越来越多的工作来确保不阻塞摄像机。通过比较图像的相似度，提出了一种检测监控摄像机是否被遮挡的算法。首先，改进了基于帧差的背景建模方法。提出了背景差和帧差的组合方法，实验结果表明，该组合算法可以更快，更准确地提取视频的背景图像。其次，使用LBP（局部二进制模式）算法比较背景图像和参考图像之间的相似度。通过更改LBP算法的窗口大小并设置适当的阈值，可以满足实际需求。所以，