Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for fast retrieving high-similarity image of highway fee evasion vehicle

A highway and similarity technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficulty, cost, and long period of time, and achieve high similarity, ensure search accuracy, and search fast. Effect

Inactive Publication Date: 2016-02-24
浙江高信技术股份有限公司
View PDF1 Cites 61 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as the information contained in the image gradually increases, it is obviously difficult to manually design an effective and good feature expression, and it takes a long time period.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for fast retrieving high-similarity image of highway fee evasion vehicle
  • Method for fast retrieving high-similarity image of highway fee evasion vehicle
  • Method for fast retrieving high-similarity image of highway fee evasion vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be further described below in conjunction with the examples, but not as a basis for limiting the present invention.

[0033] Example. A method for quickly retrieving high-similarity images of toll-dodging vehicles on expressways. The basic process is as follows: figure 1 shown, including the following steps:

[0034] ①Collect sample images of illegal vehicles and establish a vehicle management database.

[0035] ② Normalize the sample images and unify the vehicle image format;

[0036] ③Use the convolutional neural network model to extract and identify the features of the vehicle to obtain the sample features;

[0037] ④ Construct the corresponding K-d tree for the sample features;

[0038] ⑤ The features extracted from the collected unknown images are based on the constructed K-d tree, and these features are matched with the sample features using the fast and high-similarity nearest neighbor search algorithm to realize the function of ima...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses a method for fast retrieving a high-similarity image of a highway fee evasion vehicle. The method comprises: performing feature extraction and recognition on a collected sample image of an illegal vehicle by using a convolutional neural network model of a computer, constructing a corresponding K-d tree for the recognized feature, extracting a feature for a collected unknown image by using a fast high-similarity nearest neighbor search algorithm, and matching the feature of the unknown image with the feature of the sample image, to implement fast retrieval of a high-similarity image. According to the method provided by the present invention, better image feature expression can be obtained for retrieving a similar vehicle. Not only a retrieval result is high in similarity, but also retrieval is faster. Therefore, a function of image retrieval for cracking down on fee evasion, gaining evidence, cross-examination and a legal evidence chain can be sufficiently utilized, and behaviors of toll evasion can be fought and prohibited effectively.

Description

technical field [0001] The invention relates to a method for quickly retrieving high-similarity images of expressway toll evading vehicles, belonging to the technical field of traffic pattern recognition. Background technique [0002] Driven by economic interests, the phenomenon of evading tolls by paying vehicles is common on expressways across the country (except Hainan Province). Serious incidents in which management personnel are disabled or even killed. Due to the limitations of expressway management and certain conditions, it is more difficult to obtain evidence for illegal vehicle evasion fees, which weakens the efforts to crack down on illegal driver gangs evading tolls, and affects the normal toll collection operations of expressway managers. [0003] To sum up the past investigations and crackdowns on toll evasion behavior, mainly based on experience, through the establishment of a blacklist in the management system of toll evasion vehicles, the corresponding vide...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/00G06K9/62
CPCG06F16/5838G06V20/59G06V20/584G06V10/757
Inventor 房根发方玖琳张嘉旎
Owner 浙江高信技术股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products