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Pedestrian-vehicle association method, device and equipment based on single-point similarity and storage medium

A similarity and single-point technology, applied in location information-based services, electrical components, wireless communications, etc., can solve problems such as high real-time requirements, complex deployment characteristics of capture equipment, and failure to achieve multi-point computing similarity. The effect of avoiding misjudgment

Pending Publication Date: 2021-05-07
深圳前海中电慧安科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in a large number of scenarios, due to the high real-time requirements of the scene and the complex deployment characteristics of the capture equipment (license plate recognition equipment and mobile phone IMSI capture equipment), the conditions for multi-point calculation similarity are not met, and the requirements for the amount of information related to people and vehicles are relatively high. It is easy to be unable to make timely judgments on the relationship between people and vehicles when the amount of information is small

Method used

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  • Pedestrian-vehicle association method, device and equipment based on single-point similarity and storage medium
  • Pedestrian-vehicle association method, device and equipment based on single-point similarity and storage medium
  • Pedestrian-vehicle association method, device and equipment based on single-point similarity and storage medium

Examples

Experimental program
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Embodiment 1

[0030] see figure 1 , this embodiment provides a method for associating people and vehicles based on single-point similarity, which can be applied to vehicle monitoring systems installed on various roads. The method includes the following steps:

[0031] S110. Obtain mobile phone identification information and vehicle identification information.

[0032] Mobile phone identification information includes mobile phone identification codes used to distinguish different mobile phones and information such as the location, time, and speed of mobile phones. Vehicle identification information includes vehicle identification codes used to distinguish different vehicles and information such as the location, time, and speed of vehicles. Exemplarily, the mobile phone identification code can be the mobile phone IMSI, and the vehicle identification code can be the license plate, that is, the mobile phone identification information includes the mobile phone IMSI (International Mobile Subscrib...

Embodiment 2

[0052] On the basis of the previous embodiment, this embodiment further explains and supplements part of the content, for example, specifically including:

[0053] Such as image 3 As shown, step S141 includes steps S210-240:

[0054] S210. Comparing the moving directions of the matched first track point and the second track point according to the first rule to obtain direction similarity.

[0055] More specifically, in one embodiment, the directional similarity Sim q (a, b) The specific calculation process adopts the following formula:

[0056]

[0057] Where a is the first track point, b is the second track point, a q is the direction of the first track point, b q is the direction of the second trajectory point.

[0058] S220. Determine the speed difference between the matched first track point and the second track point, and determine the speed similarity according to the second rule according to the speed difference.

[0059] Specifically, in one embodiment, the c...

Embodiment 3

[0090] Such as image 3 As shown, this embodiment provides a single-point similarity-based human-vehicle association device 300, including:

[0091] The information acquiring module 310 is configured to acquire mobile phone identification information and vehicle identification information.

[0092] The track point determining module 320 is configured to determine at least one first track point according to the mobile phone identification information, and determine at least one second track point according to the vehicle identification information.

[0093] The track point matching module 330 is configured to match the first track point and the second track point according to the time-shortest principle to obtain the matched first track point and the second track point.

[0094] The association module 340 is configured to determine a single-point similarity based on the matched first track point and second track point, and determine that the person corresponding to the mobile ...

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Abstract

The embodiment of the invention discloses a human-vehicle association method and device based on single-point similarity, equipment and a storage medium. The method comprises the following steps: acquiring mobile phone identification information and vehicle identification information; determining at least one first track point according to the mobile phone identification information, and determining at least one second track point according to the vehicle identification information; matching the first track point and the second track point according to the time nearest principle, and obtaining the first track point and the second track point which are matched; determining a single-point similarity based on the matched first track point and second track point, and if the single-point similarity is greater than a preset similarity, determining that a person corresponding to the mobile phone is associated with the vehicle. According to the embodiment of the invention, the method does not employ multiple track points to describe the track and carry out the similarity calculation according to the track, can carry out the human-vehicle association judgment under the condition of lack of the track, avoids the misjudgment caused by the lack of information, is low in information demand, and can be suitable for wider application scenes.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, in particular to a method, device, equipment and storage medium for human-vehicle association based on single-point similarity. Background technique [0002] The popularity of road monitoring cameras has rapidly expanded the amount of passing data detected by the vehicle intelligent monitoring system (bayonet system). With the development of image processing technology in traffic management, the technology of computer automatic identification of license plate numbers has been basically perfected, and the technology of capturing the unique identifier IMSI of mobile phones is mature. At present, a large number of road monitoring and mobile phone IMSI capture devices have been deployed in various cities. How to mine valuable information from these two dimensions of data and provide information reference for decision-making is an urgent and valuable task. [0003] In the m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/02H04W4/029H04W8/18
CPCH04W4/025H04W4/026H04W4/027H04W4/029H04W8/183
Inventor 王东锋张荣姚相松黄玉俊
Owner 深圳前海中电慧安科技有限公司