Visual roughened sensing for private human pose recognition

机译：私人人类姿势识别的视觉粗糙化感应

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The rapid development of the Internet has made people increasingly dependent on networks for information transmission. Visual media such as digital images and videos have gradually become two of the most important forms of information exchange because they can be disseminated very quickly. However, images and videos often contain private data, such as corporate secrets and personal identity information and the harm caused by leakage of such data cannot be underestimated. Therefore, the security of images and videos has attracted widespread attention from the public and related researchers. At present, the processing of images and videos tends to include the following steps: sampling, compression, encryption, transmission, decryption, decompression, reconstruction, and intelligent processing. During these steps, images and videos are encrypted and decrypted by the sender and the receiver respectively to avoid potential leakage of private data by interception during online transmission. This processing mode is mainly aimed at preventing information-leakage problems during transmission, but it ignores the risks caused by the intelligent application of images and videos after their reconstruction. For the contradiction between existing data processing methods and actual social needs, a novel visual roughened sensing is proposed for typical intelligent applications such as private human pose recognition.

机译：互联网的快速发展使人们越来越依赖于信息传输网络。数字图像和视频等视觉媒体已逐渐成为最重要的信息交换形式中的两个，因为它们可以非常快速传播。然而，图像和视频通常包含私人数据，例如企业秘密和个人身份信息，并且由于这些数据泄漏而导致的危害不能低估。因此，图像和视频的安全性引起了公众和相关研究人员的广泛关注。目前，图像和视频的处理往往包括以下步骤：采样，压缩，加密，传输，解密，解压缩，重建和智能处理。在这些步骤期间，分别通过发送方和接收器加密和解密图像和视频，以避免在线传输期间拦截私有数据的潜在泄漏。该处理模式主要旨在防止传输过程中的信息泄漏问题，但它忽略了重建后图像和视频的智能应用引起的风险。对于现有数据处理方法与实际社会需求之间的矛盾，提出了一种新的视觉粗糙化感测，典型的智能应用，如私人人为姿势识别。

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《International Conference on Signal Image Processing and Communication》|2021年|118480Z.1-118480Z.6|共6页
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Jixin Liu; Guang Han; Ning Sun; Xiaofei Li;
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video media; information leakage; visual roughened sensing; human pose recognition;

机译：视频媒体;信息泄漏;视觉粗糙化感应;人类的姿势认可;

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机译：基于视觉认知的人类动作识别的多分辨率描述符使用键姿势
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机译：通过可视化头姿势变化的深度数据和通过面部表情的情绪识别来构想人与人之间的互动。
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机译：联合学习视觉姿势和姿势词汇进行语义行动识别
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机译：基于视觉相似的Ｋ－小体的人体姿势识别
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机译：用于运动识别和姿态估计的不变人体姿态特征提取
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机译：特定于变形和不变变形的视觉对象识别：人物和变形对象的姿势与身份识别
7. Conceiving Human Interaction by Visualising Depth Data of Head Pose Changes and Emotion Recognition via Facial Expressions [O] . Grigorios Kalliatakis, Alexandros Stergiou, Nikolaos Vidakis 2017

机译：通过面部表情可视化头部姿势变化和情绪识别的深度数据来构思人类交互

Visual roughened sensing for private human pose recognition

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