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Camera sabotage discovery for video surveillance applications [Video gözetleme uygulamalarinda kamera sabotaj sezimi]

机译:用于视频监控应用程序的摄像机破坏活动发现[视频监控应用程序中的摄像机破坏活动检测]

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摘要

In the recent years, number of surveillance cameras deployed has increased significantly. However it is important that these cameras are functioning as intended and capturing meaningful data. Offenders resort to techniques such as blocking the camera view, using a foreign object to cover the lens, spray painting or de-focusing the camera lens to prevent capture of their images and recording of their actions. These cameras are often unattended or security guard might have lost his focus and if discovery of such an attempt is not immediate, even though there is no failure in the system and the images are still being recorded, these recordings are not useful. In this paper, we propose methods for real-time discovery of visibility loss and covered camera lens using background subtraction in wavelet domain. We also propose some methods to increase robustness of the system in real-life scenarios.
机译:近年来,部署的监控摄像头数量已大大增加。但是,重要的是这些相机必须按预期运行并捕获有意义的数据。犯罪者诉诸技术,例如遮挡相机的视线,使用异物遮盖镜头,喷漆或使相机镜头散焦以防止捕获其图像并记录其动作。这些摄像机通常无人值守,或者保安人员可能会失去他的注意力,并且即使这种尝试没有立即发现,即使系统没有故障并且仍在记录图像,这些记录也无济于事。在本文中,我们提出了利用小波域中的背景减法来实时发现可见性损失和覆盖相机镜头的方法。我们还提出了一些方法来提高现实生活中系统的鲁棒性。

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