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

A method and system for classifying objects in an image

An image-based, target-based technology, applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve time-consuming problems and achieve the effect of reducing search and calculation time

Active Publication Date: 2020-11-27
BEIJING BANGKUN WEIXUN NETWORK TECH CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] As a kind of unstructured data, pictures and videos bring great challenges to people's quick browsing and retrieval
Especially in the Internet video industry and the dedicated video surveillance industry, there are massive video data. It will be very time-consuming for people to browse and find specific targets in videos or massive pictures on the Internet.

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 method and system for classifying objects in an image
  • A method and system for classifying objects in an image
  • A method and system for classifying objects in an image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The central idea of ​​the present invention is to determine the approximate location areas of a large number of targets through edge feature calculation, and then evaluate and score the target features in the areas and use the correlation detection algorithm to these areas. The target-like maps of these regions are established and the binary image segmentation with adaptive threshold is performed to determine the precise position of the target. In this way, the amount of calculation brought by the scanning window can be greatly reduced, and the positioning of the target is more accurate.

[0029] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0030] For the present invention, the images to be processed originate from videos or pictures, and these videos or pictures can be, but not limite...

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 method and system for classifying objects in an image. The method comprises the steps of: A. performing rough positioning on the target in the image, and roughly determining the area position of the target; B. determining the approximate possible position area of ​​the target on the basis of rough positioning of the target; scoring and evaluating the possible position area containing the target ; class target map and optimize the salient target to obtain the target map; search the target contour of the binary segmented image to determine the precise position of the target, and determine the precise area of ​​the target; C. Calculate the characteristic parameters or input training according to the precise target area in the image A recognition model for classifying or identifying objects. This patent proposes a framework of rough positioning first and then precise positioning, and calculates the possible areas of many targets on the image based on the edge features of the image, and determines the precise position of the target in combination with the calculation of the target saliency map.

Description

technical field [0001] The invention relates to a method and system for classifying objects in an image. Background technique [0002] As a kind of unstructured data, pictures and videos bring great challenges to people's quick browsing and retrieval. Especially in the Internet video industry and the dedicated video surveillance industry, there are massive video data, and it will be very time-consuming for people to browse and find specific targets in the massive pictures in the video or the Internet. There is an urgent need for artificial intelligence technology to be applied to the structured processing of videos and pictures. Therefore, there is a need in the prior art to accurately locate and identify objects in an image and classify them accordingly. Contents of the invention [0003] In order to solve the above problems, the present invention obtains the precise position area of ​​the target on the image through the technology of rough positioning first and then pr...

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 Patents(China)
IPC IPC(8): G06K9/62G06K9/20
CPCG06V10/22G06F18/24
Inventor 张洪庆
Owner BEIJING BANGKUN WEIXUN NETWORK TECH 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