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

A target detection method and device

A target and target classification technology, applied in the field of target detection, can solve the problem of low accuracy, and achieve the effect of improving the labeling accuracy

Active Publication Date: 2019-04-30
ALIBABA (CHINA) CO LTD
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present application provides a target detection method and device for solving the problem of low accuracy in identifying road traffic signs from images using image segmentation technology

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
  • A target detection method and device
  • A target detection method and device
  • A target detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0066] The embodiment of the present application discloses a target detection method, which is implemented based on a server (such as a server used by a navigation service provider, etc.). Among them, the server mainly uses the pre-trained regression model to segment the image containing the target of interest from the initial image, so as to realize the detection of the target. Next, the target detection method proposed in this application is introduced, see figure 1 As shown, the...

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 target detection method and device, and the method comprises the steps: obtaining an initial image, an initial boundary frame being marked for an interest target in the initial image; inputting the initial image into a pre-trained regression model to obtain a to-be-segmented image which is output by the regression model and comprises an adjusted boundary frame, the regression model being obtained by pre-training a training image marked with a real boundary frame of the interest target and marked with the initial boundary frame of the interest target; and segmenting the image contained in the adjusted boundary frame in the to-be-segmented image as a to-be-classified image containing the interest target. According to the method and the device, the marking precisionof the boundary frame of the interest target is improved.

Description

technical field [0001] The present application relates to the field of target detection, and more specifically, to a target detection method and device. Background technique [0002] For the safe and orderly driving of the public, the traffic department usually places road traffic signs in the form of markings on the signs on both sides of the road or draws them directly on the road to warn, prohibit, restrict or instruct drivers to drive . [0003] In the field of intelligent transportation, road traffic signs play a huge role. For example, navigation service providers can plan road trips based on road traffic signs; smart cars can judge whether the road can be driven in real time according to road traffic signs. Therefore, the identification of road traffic signs is particularly important. The recognition of existing road traffic signs generally adopts image segmentation technology to identify the location area of ​​traffic signs in the image and segment the traffic sign...

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): G06K9/00G06K9/32G06K9/34G06K9/62
CPCG06V20/582G06V10/25G06V10/267G06V2201/07G06F18/214G06F18/24
Inventor 杨文鲜刘昕冉张翠翠
Owner ALIBABA (CHINA) CO LTD
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