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A tracking method and system

A relationship and identity technology, applied in the field of tracking methods and systems, can solve problems such as high subjectivity, false positives, and low efficiency, and achieve the effect of improving efficiency

Active Publication Date: 2022-05-20
SHENZHEN ZTE NETVIEW TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the social governance industry, especially when public health incidents occur, the epidemic prevention situation is severe. Grassroots staff need to collect and fill in various forms of data, and then the disease control personnel will manually analyze and search the data to conduct epidemiological investigations, so as to facilitate close tracking Contacts, tracing the source of infection, etc., because the original data needs to be collected by staff or self-declared by the masses, and the data analysis and processing is also done manually, so the efficiency is low, and the subjectivity is high, and it has the disadvantages of delay, omission, and false alarm.
Similar problems also exist in the field of security. Although cameras all over the city can be used to obtain image information of suspects and suspected vehicles, it is still necessary to manually analyze the data to obtain the trajectory of suspects, suspected vehicles, and accomplices. Number of people, etc.
Therefore, the efficiency of searching and tracking target groups or means of transportation needs to be improved

Method used

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Embodiment Construction

[0034] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0035] The present invention aims to solve the problem of tracking the target personnel. The spatio-temporal data of the vehicle and the person can be obtained through big data, and the relationship between the person and the person, the person and the vehicle, and the relationship between the vehicle and the vehicle can be obtained through trajectory collision, which greatly facilitates the tracking of the target. Personnel tracking is highly efficient. The following will be described in detail through several examples.

[0036] like figure 1 As shown, the method for people-vehicle tracking provided by the present invention includes the following steps:

[0037] Step 1. Obtain spatio-temporal data of multiple mobile terminals and spatio-temporal data of multiple vehicles. The spatio-temporal data of the mobile terminal include...

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Abstract

The tracking method and system provided by the present invention obtain the mobile terminal mounted on the vehicle by acquiring the spatiotemporal data of multiple mobile terminals and the spatiotemporal data of multiple vehicles; , The accompanying vehicle of the vehicle does not need manual sorting, which improves the efficiency of tracking.

Description

technical field [0001] The invention relates to the field of big data applications, in particular to a tracking method and system. Background technique [0002] In the social governance industry, especially when public health incidents occur, the epidemic prevention situation is severe. Grassroots staff need to collect and fill in various forms of data, and then the disease control personnel will manually analyze and search the data to conduct epidemiological investigations, so as to facilitate close tracking Contacts, tracing the source of infection, etc., because the original data needs to be collected by the staff or self-declared by the masses, and the data analysis and processing is also done manually, so the efficiency is low, and the subjectivity is high, and it has the disadvantages of delay, omission, and false alarm. Similar problems also exist in the field of security. Although cameras all over the city can be used to obtain image information of suspects and suspe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/029H04W4/42H04W4/40H04W4/90G06F16/29H04W4/02
CPCH04W4/029H04W4/42H04W4/40H04W4/90G06F16/29H04W4/023
Inventor 朱金华徐明刘强王强
Owner SHENZHEN ZTE NETVIEW TECH
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