Monitoring system pedestrian re-identification method suitable for security and protection

Abstract

The invention discloses a monitoring system pedestrian re-identification method suitable for security and protection. The method comprises the following steps of: firstly, installing a camera on a place which needs to be monitored, and carrying out network connection with a monitoring host; then, constructing a sample library, wherein the sample library comprises a pedestrian sample ID (Identity), the occurrence time of a pedestrian sample, a sample feature vector, a camera position and a pedestrian sample picture; then, preprocessing the picture of a target person, and extracting the feature vector; comparing the feature vector of the target person with all sample feature vectors in the sample library, and calculating similarity measurement; and finally, listing a plurality of samples with a highest similarity, and carrying out displaying from occurrence information in the sample library to confirm whether the target person who is searched for at present appears or not and confirm occurrence places and time. By use of the method, convenience can be provided for searching for the target person, searching speed is improved, and the method has a practical popularization value.

Description

technical field [0001] The invention relates to the field of pedestrian re-identification monitoring, in particular to a pedestrian re-identification method for a security monitoring system. Background technique [0002] One of the great functions of the video surveillance system is to be used in the field of security, especially in the case of public security incidents or missing persons, it is necessary to identify specific persons in the video images. At present, most of them rely on security or police human eyes to watch videos, but with the popularization of video surveillance systems, there are often a large amount of video data. If only relying on human eyes to distinguish, not only the recognition efficiency is low, but also the labor intensity is high. , prone to fatigue and missed detection. [0003] To solve this problem, the present invention analyzes whether a specific person has appeared in the surveillance video on the basis of the pedestrian detection techno...

AI Technical Summary

Problems solved by technology

At present, most of them rely on the human eyes of security guards or police to watch videos. However, with the popularization of video surveillance systems, there are often a large amount of video data. If only relying on human eyes to distinguish, not only the recognition efficiency is low, but also the labor intensity of personnel is high. , prone to fatigue and missed detection

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