Permanent resident population identification method and system based on target tracking

Abstract

The embodiment of the invention provides a permanent resident population identification method and system based on target tracking. The method comprises the steps of collecting in-out data of in-out community personnel through a human body recognition system, obtaining community in-out personnel portraits through a feature recognition algorithm for each in-out community personnel, and storing thecommunity in-out personnel portraits into a database system; continuously collecting the people going in and out of the community through sensing equipment in the community, tracking the advancing path of the people going in and out of the community, and extracting a traveling rule curve; continuously collecting the people going in and out of the community through sensing equipment in the corridor, extracting the staying time of the people going in and out of the community, and calculating the average staying time; and performing statistics on the community access personnel data in preset time, performing analysis in combination with the community access personnel portrait, the walking rule curve and the average stay time, and judging whether the community access personnel is a permanent resident population or not. According to the method, the accuracy and efficiency of permanent resident population identification are improved.

Description

technical field [0001] This application relates to the fields of population management and big data, in particular to a method and system for identifying permanent residents based on target tracking. Background technique [0002] The census of the resident population is the main statistical method to understand the changes in the population, composition and residence of a certain area. The traditional method of resident population statistics usually uses staff to directly ask households to conduct surveys and statistics, but this method is time-consuming and labor-intensive, and if a household is not at home during the survey, the household will be missed; even through access control The system conducts statistics on the frequency of entering and leaving the community, and may also incorrectly count error data such as couriers and takeaway boys, resulting in a large deviation between the statistical results and the actual data. Therefore, it can be considered to improve and...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the purpose of this application is to propose a method and system for resident population identification based on target tracking, reduce the probability of error statistics, and solve the technical problems of low processing efficiency and low accuracy in the current resident population identification process

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