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

Target detection method and system based on feedback mechanism

A target detection and feedback mechanism technology, applied in the field of computer vision, can solve problems such as inability to effectively ensure detection accuracy

Active Publication Date: 2020-10-02
BEIHANG UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a target detection method and system based on a feedback mechanism to solve the problem that the single-stage target detection algorithm in the prior art cannot effectively ensure the detection accuracy under the condition of ensuring real-time performance

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
  • Target detection method and system based on feedback mechanism
  • Target detection method and system based on feedback mechanism
  • Target detection method and system based on feedback mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] At present, the prediction in the general CNN network is forward propagation, and there will be bifurcations in the residual network, and there is rarely a feedback structure. The embodiment of the present invention will introduce the IFF module before the head part of the target detector, that is, a feedback structure, such as figure...

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 embodiment of the invention provides a target detection method and system based on a feedback mechanism. The method comprises: obtaining a to-be-detected target; inputting the to-be-detected target into an improved IFF target detector to obtain a target detection result, wherein the improved IFF target detector is obtained by adding an IFF module based on a target detector. According to the embodiment of the invention, the IFF feedback module is additionally arranged in the existing target detector, the last prediction result is used as reference information to be fed back to the feature map, the filtering effect can be achieved, the activated area of the feature map can be more concentrated in the target area, and the coupling relation between the category information and the positioninformation can be captured by a network through fusion.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a method and system for target detection based on a feedback mechanism. Background technique [0002] Object detection is an important branch of computer vision, which consists of two parts, namely localization and classification. Therefore, target detection needs to use a rectangular frame to locate the target position and target category of the input image or video. With the development of computer technology and the wide application of computer vision principles, the use of computer image processing technology to track targets in real time is becoming more and more popular, and dynamic real-time tracking and positioning of targets is becoming more and more important in intelligent transportation systems, intelligent monitoring systems, and military targets. It has wide application value in detection and surgical instrument positioning in medical navigation surgery. ...

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): G06T7/246G06K9/32G06N3/04G06N3/08
CPCG06T7/251G06N3/084G06V10/25G06N3/045
Inventor 张宝昌吕金虎毛明远田雨鑫
Owner BEIHANG UNIV
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