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

A method for salient object detection in dynamic scene

A dynamic scene and target detection technology, applied in image analysis, instrumentation, computing, etc.

Active Publication Date: 2019-01-04
ZHENGZHOU UNIVERSITY OF AERONAUTICS
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The object of the present invention is to provide a method for detecting salient objects in a dynamic scene. The present invention solves the problem of detecting a salient object in a moving camera and can meet the requirements of a machine vision system for detecting a salient object in a dynamic scene. demand, and the method has strong adaptability to environmental changes

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 for salient object detection in dynamic scene
  • A method for salient object detection in dynamic scene
  • A method for salient object detection in dynamic scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0074] 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 accompanying drawings in the present invention. Obviously, the described embodiments are the Some embodiments of the invention are not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.

[0075] A method for detecting a salient object in a dynamic scene, comprising the following steps:

[0076] S1: Perform moving target detection in a dynamic scene, and obtain a set of foreground images of all moving target areas in the dynamic scene;

[0077] S2: Extract image features in dynamic scenes and perform feature-level fusion to obtain image fusion feature ve...

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

A method for detecting a salient object in dynamic scene is disclosed. That salient object detection in dynamic scene is a salient detection process by analyzing the moving state of the object in moving video. The method mainly includes three steps: firstly, moving object detection is carried out in the dynamic scene, and all moving object regions in the scene are obtained; then, image features are extracted from dynamic scene and fused at feature level to get image fusion feature vector, which is used to detect visual fixation point based on Bayesian inference; finally, combined with fixationdetection, the saliency of the detected moving object is estimated, and a dynamic saliency map based on the moving object is generated. The invention solves the problem of salient object detection ofthe camera under the moving condition, can meet the requirement of the machine vision system for detecting the salient object in the dynamic scene, and the method has strong adaptability to the environment change.

Description

technical field [0001] The invention belongs to the field of digital image processing, and in particular relates to a method for detecting a salient target in a dynamic scene. Background technique [0002] In the field of life sciences, research on the human visual system has found that humans have the ability to selectively focus on key information from complex scenes, which can help humans quickly and accurately process information and make judgments. The selective mechanism of the human visual system is defined as the visual attention mechanism, and the basis that can support the visual attention mechanism to select information in the scene is defined as visual saliency; researchers in the field of machine vision believe that visual saliency detection It can help improve the ability to quickly process massive and complex information. According to this, the research on saliency detection based on digital image can be sprouted and developed. [0003] At present, the resea...

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): G06T7/246G06K9/46G06K9/62
CPCG06T7/246G06V10/462G06F18/253
Inventor 赵雪专裴利沈李玲玲赵中堂邵晓艳薄树奎程秋云张少彤代占起
Owner ZHENGZHOU UNIVERSITY OF AERONAUTICS
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