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

Training method for vehicle identification model, and vehicle identification method and apparatus

A technology of vehicle identification and model training, applied in the field of vehicle identification, can solve the problems of inability to detect and identify vehicles, and achieve the effects of fast calculation speed, reduced complexity, and small storage space

Active Publication Date: 2012-08-29
甘肃煜城智慧停车科技有限责任公司
View PDF3 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The huge amount of calculation brought by such a large number of model samples is still a heavy burden on the computing power of the existing computer system. Therefore, this method cannot detect and identify vehicles quickly and efficiently.

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
  • Training method for vehicle identification model, and vehicle identification method and apparatus
  • Training method for vehicle identification model, and vehicle identification method and apparatus
  • Training method for vehicle identification model, and vehicle identification method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0045] The vehicle recognition model training method, the vehicle recognition method and the vehicle recognition device of the present invention recognize images based on trained models and acquired image features. In actual operation, it is first necessary to establish a model and train the model by collecting a large number of image samples to determine the parameters of the model. When performing vehicle recognition, the type of the image to be recognized can be determined according to the model and image features, so as to realize vehicle recognition.

[0046] Below, the embodiment of the vehicle identification model training method of the present invention is described:

[0047] Step 101, collecting image samples.

[0048] ...

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 invention provides a training method for a vehicle identification model, comprising the following steps of: collecting image samples, transforming the collected image samples, representing a transformed image sample by a feature matrix with constant size but transformable features, extracting partial features in the feature matrix with constant size but transformable features of each image sample to compose a feature space, performing sparse coding on the feature space to obtain a sparse coding feature basis matrix, computing the maximum multi-scale feature vector of each image sample, and determining the parameter of a linear classifier. By the training method for the vehicle identification model, the complexity, occupied memory space and computing time of an algorithm can be reduced, so that the vehicle identification is implemented fast; and meanwhile, the vehicle identification precision is improved. The invention further provides a vehicle identification method and apparatus based on the training method for the vehicle identification model.

Description

technical field [0001] The invention relates to the technical field of vehicle identification, in particular to a vehicle identification model training method, a vehicle identification method and a vehicle identification device. Background technique [0002] With the development of technology, in the modern intelligent transportation system, the vehicle detection and recognition method based on the surveillance video has gradually replaced the coil sensor detection method, and has become the mainstream means and development trend of vehicle detection in the intelligent transportation system. [0003] The recognition rate of the vehicle detection and recognition method based on surveillance video is an important indicator of the modern intelligent transportation system, which determines the quality of the intelligent transportation system to a large extent. How to improve the recognition rate of illegal vehicles and reduce the misjudgment rate is a research hotspot and diffic...

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): G06K9/66
Inventor 李健韩向华
Owner 甘肃煜城智慧停车科技有限责任公司
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