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An Efficient Motion Detection and Tracking Scheme for Encrypted Surveillance Videos

机译:加密监控视频的有效运动检测和跟踪方案

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摘要

Performing detection on surveillance videos contributes significantly to the goals of safety and security. However, performing detection on unprotected surveillance video may reveal the privacy of innocent people in the video. Therefore, striking a proper balance between maintaining personal privacy while enhancing the feasibility of detection is an important issue. One promising solution to this problem is to encrypt the surveillance videos and perform detection on the encrypted videos. Most existing encrypted signal processing methods focus on still images or small data volumes; however, because videos are typically much larger, investigating how to process encrypted videos is a significant challenge. In this article, we propose an efficient motion detection and tracking scheme for encrypted H.264/AVC video bitstreams, which does not require the previous decryption on the encrypted video. The main idea is to first estimate motion information from the bitstream structure and codeword length and, then, propose a region update (RU) algorithm to deal with the loss and error drifting of motion caused by the video encryption. The RU algorithm is designed based on the prior knowledge that the object motion in the video is continuous in space and time. Compared to the existing scheme, which is based on video encryption that occurs at the pixel level, the proposed scheme has the advantages of requiring only a small storage of the encrypted video and has a low computational cost for both encryption and detection. Experimental results show that our scheme performs better regarding detection accuracy and execution speed. Moreover, the proposed scheme can work with more than one format-compliant video encryption method, provided that the positions of the macroblocks can be extracted from the encrypted video bitstream. Due to the coupling of video stream encryption and detection algorithms, our scheme can be directly connected to the video stream output (e.g., surveillance cameras) without requiring any camera modifications.
机译:对监视视频进行检测对实现安全性和安全性目标做出了重大贡献。但是,对不受保护的监视视频执行检测可能会揭示视频中无辜者的隐私。因此,在维护个人隐私与提高检测的可行性之间取得适当的平衡是重要的问题。解决该问题的一种有希望的解决方案是对监视视频进行加密,并对加密后的视频进行检测。现有的大多数加密信号处理方法都集中在静止图像或小数据量上。但是,由于视频通常更大,因此研究如何处理加密的视频是一个巨大的挑战。在本文中,我们为加密的H.264 / AVC视频比特流提出了一种有效的运动检测和跟踪方案,该方案不需要对加密视频进行先前的解密。主要思想是首先根据比特流结构和码字长度估算运动信息,然后提出一种区域更新(RU)算法,以处理视频加密引起的运动损失和错误漂移。 RU算法是根据先验知识设计的,即视频中的对象运动在空间和时间上是连续的。与基于像素级发生视频加密的现有方案相比,该方案的优点是只需要存储少量的加密视频,并且加密和检测的计算成本都较低。实验结果表明,我们的方案在检测精度和执行速度方面表现更好。此外,如果可以从加密的视频比特流中提取宏块的位置,则所提出的方案可以与不止一种格式兼容的视频加密方法一起工作。由于视频流加密和检测算法的结合,我们的方案可以直接连接到视频流输出(例如监控摄像机),而无需进行任何摄像机修改。

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