Monitoring system-oriented digital video real-time tracing method and urban video monitoring system

Abstract

The invention belongs to the technical field of information security, and discloses a monitoring system-oriented digital video real-time tracing method and an urban video monitoring system. The methodincludes the following steps: analyzing a common coding mode H.264 of a monitoring video to obtain a key frame of the monitoring video; carrying out pRNU noise extraction on the key frame of the monitoring video; and carrying out real-time classification on the statistical characteristics of the PRNU noise by adopting a real-time classification method. According to the method, the accuracy of video source identification is improved, and meanwhile, the SFFS algorithm is used, so that the feature dimension can be reduced, the precision is not lost, and the calculation time and the system complexity can be reduced; the method is low in computational complexity and can be applied to videos of different sizes. In addition, the method is also robust for the found video processing and geometrictransformation, and the method is very steady for images subjected to basic image processing or geometric transformation. The method is very necessary in an actual application scene. Therefore, the technology can be used as an effective method for identifying the video source camera.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a monitoring system-oriented digital video real-time traceability method and a city video monitoring system. Background technique [0002] At present, the closest existing technology: with the increasing scale of surveillance systems, the large-scale application of safe city video surveillance technology and people's increasing requirements for public safety, resulting in a sharp increase in the proficiency of video surveillance equipment, from urban construction From public transportation, from community security to production safety, all of them do not require a large number of video surveillance equipment. In first-tier cities, there are hundreds of thousands of video surveillance devices, and such a large-scale video surveillance system generates petabytes of video information every day. Therefore, some security problems in the video surveillance sys...

AI Technical Summary

Problems solved by technology

[0003] Even though the video surveillance system is widely used in the construction of safe cities, the security issues of the video surveillance system itself need to be further studied

At present, in terms of digital multimedia forensics technology, the research of multimedia traceability technology is mainly concentrated on the image aspect. Compared with the research on video, the research on video is much behind. The main reasons are as follows: digital video is more powerful than digital image. Complexity, whether it is digital acquisition or compression coding; digital video is compressed before transmission due to the large amount of data, which makes some system features lost; video processing technologies are becoming more and more diverse, and it is more and more difficult to trace the source

[0004] To sum up, the problems existing in the existing technology are: there are not many relevant researches on the existing video traceability applied to the video processing and analysis of the safe city intelligent security platform, and the research on the video traceability technology for the safe city video surveillance system is still in progress. In its infancy

[0005] Difficulties in solving the above technical problems: first, video has a time axis complexity compared to images; second, the camera feature extraction of digital video is difficult; third, increasingly diverse video processing technologies make video traceability more and more difficult

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