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

Image recognition method and device based on small object detection and medium

A technology of image recognition and small objects, applied in the field of target re-recognition, can solve the problem of investing a lot of manpower and material resources, and achieve the effect of overcoming manpower, material resources and time, reducing the search range, and reducing the difficulty of identifying features

Pending Publication Date: 2021-06-25
广州云从鼎望科技有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with more and more monitoring data, finding clues from it often requires a lot of manpower and material resources to compare and search video data.
Moreover, the accuracy of video retrieval through human eyes or simple image recognition methods is not very high.

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
  • Image recognition method and device based on small object detection and medium
  • Image recognition method and device based on small object detection and medium
  • Image recognition method and device based on small object detection and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Some embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0031] In the description of the present invention, "module" and "processor" may include hardware, software or a combination of both. A module may include hardware circuits, various suitable sensors, communication ports, memory, and may also include software parts, such as program codes, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor or any other suitable processor. The processor has data and / or signal processing functions. The processor can be implemented in software, hardware or a combination of both. The non-transitory computer readabl...

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 relates to the technical field of target re-identification, in particular to an image identification method and device based on small object detection. The method aims at solving the problem that a large amount of manpower and material resources are needed through manual search at present and relieving the problem that a traditional image algorithm is not high in recognition accuracy. A small object detection model has a common backbone network and two different branch networks, when target re-identification is carried out, one feature vector can be achieved in each branch, and the two feature vectors are combined to form a final feature vector, and then the similarity of the feature vectors of the candidate image data determined by the small object detection network branches is calculated so as to obtain a final result. Through the method of the technical scheme of the invention, the small object on the target can be detected, the search range of target re-identification is reduced, and higher accuracy is obtained. Compared with a traditional method, The disclosed method has improved detection speed.

Description

technical field [0001] The present invention relates to the technical field of target re-identification, in particular to an image recognition method, device and computer-readable storage medium based on small object detection. Background technique [0002] At present, in the field of intelligent transportation, with the rapid development of computer technology and artificial intelligence technology, image processing has been widely used, and video surveillance on the road is very popular, which is conducive to the application of image recognition technology in the transportation field. However, with more and more monitoring data, finding clues from it often requires a lot of manpower and material resources to compare and search video data. Moreover, the accuracy of video retrieval by human eyes or simple image recognition methods will not be very high. Contents of the invention [0003] In order to overcome the above defects, the present invention is proposed to solve or...

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
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/20G06N3/045G06F18/22
Inventor 董誉赵科
Owner 广州云从鼎望科技有限公司
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