Lost personnel identification method, system and device and storage medium

Abstract

The invention relates to the field of personnel identification, and particularly discloses a lost personnel identification method, system and device and a storage medium, through adoption of the lost personnel identification method, intelligent cameras are used for deployment and control in various public places where personnel are prone to being lost, and the personnel identification efficiency is improved. Four technologies of a face recognition algorithm, an abnormal mental person recognition algorithm, an old person/child recognition algorithm and a missing judgment algorithm based on social distance detection are combined, missing persons and suspicious persons are automatically recognized, and an alarm is automatically given out. According to the method, the defects that the labor cost is high, the real-time performance is poor, misjudgment and missed judgment are easily caused and early warning cannot be carried out aiming at the condition that the person is lost in a place when the lost person looks up a video in a complex scene at present are overcome; and video monitoring is not limited by manpower and material resources any more, and the recall ratio can be improved.

Description

technical field [0001] The present invention relates to the field of person identification, in particular to a method, system, device and storage medium for missing person identification. Background technique [0002] Most of the existing missing person search solutions are based on video surveillance technology. Video surveillance technology has a long history and is an important technical means to assist the public security department in searching for lost children and the elderly. Among them, the traditional video surveillance system collects the video images of the monitoring area through the camera, which mainly plays the role of recording. If there is no human intervention, it cannot find the target person in real time, predict the emergency situation, and cannot play the role of early warning; this makes The use of traditional video surveillance systems requires a lot of manpower, material resources and time. [0003] There are other related technologies that place ...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the high labor cost and low efficiency of the manual monitoring method, manual judgment requires long-term observation, so it is easy to lead to high labor costs for the monitoring of fortified areas, and the manual is prone to visual fatigue, resulting in misjudgments and missed judgments; and The existing personnel monitoring system can only give an early warning of the situation of the lost person walking out of the exit, but cannot provide early warning for the situation of the lost person in the venue

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