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

Machine learning based vehicle logo identification method

A recognition method and machine learning technology, applied in the field of vehicle logo recognition, can solve the problems of high time cost, low accuracy rate, inconvenient use, etc., and achieve the effect of convenient use and high classification accuracy rate

Active Publication Date: 2016-07-06
杭州熵领科技有限公司
View PDF3 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] In order to overcome the shortcomings of the existing car logo recognition methods, such as high time cost, inconvenient use, and low accuracy, the present invention provides a machine learning-based car logo recognition method that reduces time cost, is easy to use, and has high accuracy

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
  • Machine learning based vehicle logo identification method
  • Machine learning based vehicle logo identification method

Examples

Experimental program
Comparison scheme
Effect test

example

[0086] Example: Among the pictures taken by the electronic police of a small car, 40 face pictures of five brands of Audi, Honda, Volkswagen, Toyota, and SGMW are selected. . By setting the RoI area picture taken during rough positioning of the license plate position, the sample image obtained has a side length of 140 pixels. These pictures all contain car logos.

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 provides a machine learning based vehicle logo identification method. The method comprises the following steps: 1) performing vehicle logo location: searching out a vehicle license plate according to a vehicle license plate location method, and on this basis, determining a region where a vehicle logo is possibly located, i.e. an ROI region as a vehicle logo location image; 2) extracting an SIFT feature set of the vehicle logo location image; 3) by using a clustering method, generating K keywords and a weight of each keyword from the SIFT feature set; 4) obtaining the K keywords and the weight of each keyword from the SIFT feature set as an input of a classifier; and 50 performing classification by using a well-trained multi-class SVM classifier. The present invention provides a machine learning based vehicle logo identification method that reduces time costs, is convenient for use and is high in accuracy.

Description

Technical field [0001] The invention relates to the field of vehicle identification, in particular to a vehicle logo identification method. Background technique [0002] The vision-based automatic vehicle identification system is an integral part of intelligent transportation, and automatic vehicle identification includes basic issues such as automatic license plate recognition, automatic vehicle identification, and automatic vehicle logo recognition. In the video recognition system of vehicle types, currently, vehicles are divided into large trucks, buses, small vehicles and other vehicle types (types) mainly based on the geometry and structure of the vehicle. Due to different viewpoints, the same vehicle can be expressed in different dimensions and structures, so the size and structure of the vehicle are not decisive for the recognition of the vehicle type, and they have a small degree of distinction between the specific vehicle model and it is difficult to achieve Identificat...

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): G06K9/62G06K9/00
CPCG06V20/64G06V2201/09G06F18/2411
Inventor 杜克林吴斌赵旭曾杰陈慧宇
Owner 杭州熵领科技有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com