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

Moving object detection method based on improved mixing gauss and image cutting

A moving target, mixed Gaussian technology, used in image analysis, image data processing, instruments, etc., can solve the problems of poor real-time performance and large amount of calculation, and achieve the effect of reducing dependence, reducing the amount of calculation, and shortening the running time.

Inactive Publication Date: 2013-05-01
BEIJING UNIV OF TECH
View PDF2 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the problems of large amount of calculation and poor real-time performance of the mixed Gaussian model in moving target detection, and proposes a moving target detection method based on improved mixed Gaussian and image clipping. The specific experimental scheme is as follows:

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
  • Moving object detection method based on improved mixing gauss and image cutting
  • Moving object detection method based on improved mixing gauss and image cutting
  • Moving object detection method based on improved mixing gauss and image cutting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention utilizes the method of three-frame difference and curve fitting of gray level difference to determine the target motion area; then, utilizes the method based on grid and density estimation to initialize the EM algorithm; finally, utilizes the initialized EM algorithm to estimate the mixed Gaussian model parameters , so that the foreground information of the moving target can be obtained quickly and accurately. Processing flow such as figure 1 Shown:

[0056] (1) Input the original video, and use the avi2im function in Matlab to split the video into continuous image sequences. The avi2im function requires the input video format to be avi. If the experimental video is in other formats, it can be converted to avi format by winavi software. Figure 2(a)-2(f) , Figure 3(a)-3(f) Partial images of the video sequences of pedestrians and vehicles used in the experiments of the present invention, respectively.

[0057] (2) The image preprocessing step us...

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 a moving object detection method based on improved mixing gauss and image cutting, which belongs to the technical field of intelligent video monitoring, and aims to solve the problems of the existing method and improve the accuracy and the processing speed of moving object detection. The method comprises the following steps of: (1) confirming a moving area, wherein the invention provides a three-frame difference and curve fitting method based on gray level difference so as to preliminarily confirm the moving area of an object; (2) initializing an expectation-maximization (EM) algorithm, and confirming an initial value of the EM algorithm by utilizing a method based on grid and density estimation so as to reduce the dependency of the EM algorithm on the initial value; and (3) detecting the moving object, utilizing the initialized EM algorithm to estimate a mixing gauss model parameter, and only adopting a mixing gauss model method to detect the moving object on a cut moving area, so that the computation complexity is greatly reduced. According to the moving object detection method based on improved mixing gauss and image cutting, the accuracy of object detection can be ensured, and simultaneously, the algorithm can meet the performance requirement of actual application.

Description

technical field [0001] The invention belongs to the field of intelligent video monitoring, and in particular relates to a moving target detection method based on improved mixed Gaussian and image clipping, which is used for moving target detection in video monitoring. Background technique [0002] With the rapid development of artificial intelligence technology, the research and application of intelligent video surveillance system has gradually become a focus of attention, and has been widely used in many fields such as security, transportation, commercial activities and military affairs. In the scene of video surveillance, the moving target is the subject, so the monitoring system must be able to detect the moving target in real time. Moving target detection is an image segmentation technology based on the geometric and statistical characteristics of the target. The main methods include frame difference method, optical flow method, background difference method, etc. [000...

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): G06T7/20
Inventor 杨金福杨宛露傅金融李明爱赵伟伟解涛
Owner BEIJING UNIV OF TECH
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