Closed-circuit television (CCTV) and video surveillance systems (VSSs) are becoming increasingly more common each year to help prevent incidents/accidents and ensure the security of public places and facilities. The increased presence of VSS is also increasing the number of per capita exposures to CCTV cameras. To help protect the privacy of the exposed objects, attention is being drawn to technologies that utilize intelligent video surveillance systems (IVSSs). IVSSs execute a wide range of surveillance duties—from simple identification of objects in the recorded video data, to understanding and identifying the behavioral patterns of objects and the situations at the incident/accident scenes, as well as the processing of video information to protect the privacy of the recorded objects against leakage. Besides, the recorded privacy information is encrypted and recorded using blockchain technology to prevent forgery of the image. The technology herein proposed (the “proposed mechanism”) is implemented to a VSS, where the mechanism converts the original visual information recorded on a VSS into a similarly constructed image information, so that the original information can be protected against leakage. The face area extracted from the image information is recorded in a separate database, allowing the creation of a restored image that is in perfect symmetry with the original image for images with virtualized face areas. Specifically, the main section of this study proposes an image modification mechanism that inserts a virtual face image that closely matches a predetermined similarity and uses a blockchain as the storage area.

中文翻译：

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一种用于医疗视频监控系统隐私入侵预防的人脸图像虚拟化机制

闭路电视 (CCTV) 和视频监控系统 (VSS) 每年都变得越来越普遍，以帮助预防事故/事故并确保公共场所和设施的安全。VSS 的增加也增加了人均接触闭路电视摄像机的次数。为了帮助保护暴露对象的隐私，人们正在关注利用智能视频监控系统 (IVSS) 的技术。IVSS 执行广泛的监视职责——从简单识别记录的视频数据中的物体，到理解和识别物体的行为模式和事件/事故现场的情况，以及处理视频信息以保护记录对象的隐私以防止泄漏。除了，记录的隐私信息采用区块链技术加密记录，防止图像被伪造。本文提出的技术（“提出机制”）是在VSS上实现的，该机制将VSS上记录的原始视觉信息转换为类似构造的图像信息，从而可以保护原始信息不被泄露。从图像信息中提取的人脸区域被记录在一个单独的数据库中，从而可以为具有虚拟人脸区域的图像创建与原始图像完美对称的恢复图像。具体而言，本研究的主要部分提出了一种图像修改机制，即插入与预定相似度密切匹配的虚拟人脸图像，并使用区块链作为存储区域。