A method and system for retrieving a fake-licensed vehicle

A technology for decked cars and vehicles, which is applied in special data processing applications, instruments, and electronic digital data processing, etc., can solve the problems that decked cars cannot achieve accurate retrieval and verification, and achieve the effect of ensuring accuracy and running speed balance

Active Publication Date: 2018-12-11
GOSUNCN TECH GRP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This technical solution proposes a search and system for licensed vehicles, which solves the technical problem of accurate retrieval and verification of licensed vehicles that cannot be realized in the prior art

Method used

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  • A method and system for retrieving a fake-licensed vehicle
  • A method and system for retrieving a fake-licensed vehicle
  • A method and system for retrieving a fake-licensed vehicle

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0039] figure 1 It is a schematic flow chart of this embodiment, a method for retrieving a decked vehicle, comprising:

[0040] Step 101, pre-training a model for vehicle filtering, where the model includes a vehicle type model, a color model, a sub-brand model, a license plate information model, and a feature area classification model;

[0041] The license plate retrieval method disclosed in this embodiment adopts the target detection model of deep learning. Since deep learning has a powerful feature learning ability, it can improve the accuracy and efficiency of target detection. Specifically, in this embodiment, classical models such as vgg and resnet are used for optimization, while meeting the requirements of accuracy and speed.

[0042] In this embodiment, model training is performed on vehicle images collected from cameras at public security traffic checkpoints to obtain a variety of filtering models, where the filtering models include vehicle type models, color models...

Embodiment 2

[0061] This embodiment is essentially an improvement of embodiment 1, specifically the improvement proposed in step 106. In order to ensure the integrity of the description, all the steps of embodiment 2 are described below. It should be noted that this embodiment Steps 201 to 205 are the same as steps 101 to 105 in the embodiment.

[0062] figure 2 It is a schematic flow chart of this embodiment, a method for retrieving a decked vehicle, comprising:

[0063] Step 201, pre-training a model for vehicle filtering, where the model includes a vehicle type model, a color model, a sub-brand model, a license plate information model, and a feature area classification model;

[0064] The license plate retrieval method disclosed in this embodiment adopts the target detection model of deep learning. Since deep learning has a powerful feature learning ability, it can improve the accuracy and efficiency of target detection. Specifically, in this embodiment, classical models such as vgg ...

Embodiment 3

[0086] image 3 It is a schematic diagram of the structure of this embodiment, a retrieval system for licensed vehicles, including:

[0087] The training unit 301 is used to pre-train a model for vehicle filtering, where the model includes a vehicle type model, a color model, a sub-brand model, a license plate information model, and a feature area classification model;

[0088] The obtaining unit 302 is used to obtain the first image of the target vehicle information to be retrieved, and extract the vehicle license plate number information of the first image; the first removal unit 303 is used to remove the vehicle license plate number information of the first image, and obtain the second image, Extracting vehicle type information, vehicle color information, vehicle sub-brand information, and feature extraction area information of the second image;

[0089] The second removal unit 304 is used to remove the license plate number information of the original test set vehicle of t...

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Abstract

A method and a system for retrieving a fake-licensed vehicle are disclosed. The method comprises: pre-training a classification model for vehicle filtering, obtaining the type of target vehicle, color, sub-brand, license plate number and feature area information, removing the license plate number information of the target vehicle to obtain a second image, removing a license plate number information of an original test set vehicle from that vehicle passing record to obtain a second test set, filtering a second test set is associated with the target vehicle type, colors, sub-brands and differentvehicle images to get a third test set, selecting a vehicle image set according with the second image in similarity demands from the third test set, restoring the license plate number information ofthe vehicle in the image set, and matching and verifying the license plate information of the vehicle in the image set and the license plate information of the first image, so as to achieve the purpose of matching and verifying. The vehicle image set in the third test set and the vehicle image in the second image meet the similarity requirement. The technical scheme of the invention solves the technical problems of precision retrieval and verification that the prior art can not realize for the brand-set car.

Description

[0001] The technical solution relates to the field of vehicle monitoring, in particular to a method and system for retrieving a licensed vehicle. Background technique [0002] With the research and application of computer vision technology, the intelligence and reliability of tracking and retrieval of targets can be used in real-life scenarios such as government control, illegal locking, and suspect tracking. It has been used in transportation, public security, military, energy, etc. And many other fields, there is a trend of further in-depth development. [0003] In the field of vehicle tracking and monitoring, the image information of the target vehicle is generally known, and it is necessary to find the target vehicle in a massive test library. In the process of handling criminal cases, there is a special situation that the vehicle driven by the criminal suspect is a licensed vehicle, that is, the criminal suspect keeps changing the license plate. [0004] In the research ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/32G06K9/62
CPCG06V20/63G06V20/625G06F18/24G06F18/214
Inventor 黎邹邹毛亮李超熊伟郑康元文莉薛坤南黄仝宇汪刚宋一兵侯玉清刘双广
Owner GOSUNCN TECH GRP
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