Archiving method and device

Abstract

The invention provides an archiving method and device, and relates to the technical field of monitoring, and the method comprises the steps: obtaining a plurality of face images in a preset time period; clustering the plurality of face images to generate a pre-archived file; Wherein the similarity between any face image in any pre-archived file and any face image in other pre-archived files is smaller than a first threshold value; for at least one pre-archived file, if the matching file of the pre-archived file is not determined from the real-name face files in the offline file, determining the matching file of the pre-archived file from the non-real-name face files in the offline file; wherein the offline archives are archived before a preset time period; and if it is determined that thefirst non-real-name face archive is a matching archive of the pre-archived archive, classifying the face image in the pre-archived archive into the first non-real-name face archive. And the accuracy of filing information of the face image acquired by the monitoring equipment is improved.

Description

technical field [0001] The invention relates to the technical field of monitoring, in particular to an archiving method and device. Background technique [0002] With the rapid development of information technology, monitoring technology has been widely used in various industries and places, providing many conveniences for people's daily work and life. But at the same time, there are many problems in the single monitoring application mode. The image content analysis of the monitoring network still needs to rely on manual real-time viewing and manual retrieval. [0003] With the expansion of the surveillance network scale and the massive growth of video data, image monitoring and retrieval take up a lot of manpower, and it is becoming more and more difficult to obtain useful information or intelligence from massive surveillance videos. [0004] In addition, most of the current surveillance video applications are only the reproduction and playback of surveillance scenes, whic...

AI Technical Summary

Problems solved by technology

But at the same time, there are many problems in the single monitoring application mode. The image content analysis of the monitoring network still needs to rely on manual real-time viewing and manual retrieval.

[0003] With the expansion of the surveillance network scale and the massive growth of video data, image monitoring and retrieval take up a lot of manpower, and it is becoming more and more difficult to obtain useful information or intelligence from massive surveillance videos

[0004] In addition, most of the current surveillance video applications are only the reproduction and playback of surveillance scenes, which is difficult to meet the needs of modern public security prevention and control applications

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