Check patentability & draft patents in minutes with Patsnap Eureka AI!

Track recognition method and related device and equipment

A recognition method and trajectory technology, applied in the field of trajectory recognition, can solve the problems of low efficiency of trajectory recognition, achieve the effects of reducing training consumption, improving speed and efficiency, and improving accuracy

Pending Publication Date: 2021-10-01
GUANGZHOU HUYA TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a trajectory recognition method and related devices and equipment to solve the problem of low trajectory recognition efficiency in the prior art

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
  • Track recognition method and related device and equipment
  • Track recognition method and related device and equipment
  • Track recognition method and related device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The solutions of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0030] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application.

[0031] The terms "system" and "network" are often used interchangeably herein. The term "and / or" in this article is just an association relationship describing associated objects. There can be three relationships, for example, A and / or B, which can be: A exists alone, A and B exist simultaneously, and B exists alone. three situations. In addition, the character " / " in this article generally has an "or" relationship between context and context objects. In addition, "more" in this article is two or more than two.

[0032] see figure 1 , figure 1 It is a schematic flow...

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 discloses a track recognition method and related device and equipment, and the method comprises the steps of obtaining a plurality of track points of a to-be-recognized track; determining a plurality of initial corner points of the track to be identified from the plurality of track points; obtaining a plurality of identification points with the same number as the reference corner points of the track template based on the initial corner points; and determining the type of the track to be identified by using the plurality of identification points and the reference corner point. According to the scheme, the accuracy and efficiency of track recognition can be improved.

Description

technical field [0001] The present application relates to the technical field of trajectory recognition, in particular to a trajectory recognition method and related devices and equipment. Background technique [0002] With the rapid development of science and technology, trajectory recognition is more and more widely used in various industries. For example, handwriting input methods, you draw and guess games, and preschool literacy education all rely on trajectory recognition technology to a certain extent. [0003] At present, the commonly used trajectory recognition methods often use statistics and machine learning principles to train and process a large number of samples to obtain neural networks or classifiers, and then use neural networks or classifiers to classify unknown samples. [0004] But in practice, if you increase the types of trajectories that need to be identified, you need to re-acquire a large number of samples to train the neural network or classifier ag...

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): G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F18/24
Inventor 华路延
Owner GUANGZHOU HUYA TECH CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com