Block-based motion region detection method

A detection method and motion area technology, applied in image data processing, instruments, closed-circuit television systems, etc., can solve the problems of not being able to adapt to sudden changes in lighting, unable to recognize dynamic backgrounds, etc., and achieve the effect of eliminating low contrast.

Inactive Publication Date: 2010-10-13
ZHEJIANG ICARE VISION TECH
View PDF0 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the background difference method in the prior art, which is sensitive to the interference of the scene, cannot well adapt to sudden changes in illumination, and cannot recognize dynamic backgrounds such as various swaying branches or water flows, etc., and provides a method set in On the basis of background modeling, the background difference method is used to count the noise level in space

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] The block-based motion area detection method uses pixel sub-blocks as the minimum detection unit, and converts pixel point differences into pixel sub-block differences through statistical methods. The specific detection method includes the following steps:

[0034] a. Background modeling, input the image to be detected and the reference background image;

[0035] b. The image to be detected is scaled to obtain a large-scale image to be detected, and the reference background image is also processed to obtain a large-scale reference background;

[0036] c. The first frame image is given the preset noise value of all scales, and the other frame images are estimated according to steps d-g;

[0037] d. Calculate the average brightness of the image to be detected and the reference background image on a large scale. If the two are not equal, go to step e, otherwise go to step f;

[0038] e. Proportional compensation is performed on all scale reference background images to obt...

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 video analyzing and monitoring technology, in particular to a block-based motion region detection method during monitoring a video sequence. The method comprises the following steps of: converting a pixel point difference into a pixel subblock difference by using a statistical method by using a pixel subblock as a minimum detection unit; setting on a background modeling basis; counting a noise level in time and space by utilizing a background difference method; then, dividing an image to be detected into mutually stacked pixel subblocks; and judging whether a motion target exits in a pixel subblock by using a background as a reference frame and counting a brightness difference, a gradient difference and a gradient direction difference between each pixel point in the pixel subblock and a corresponding pixel point in the reference background. By the invention, a low-contrast scene can be effectively processed, the uniform illumination change is suppressed, and the integrity of the motion region is guaranteed.

Description

technical field [0001] The invention relates to video analysis and monitoring technology, in particular to a block-based motion region detection method in monitoring video sequences. Background technique [0002] Video moving target detection algorithms mainly include background difference method, frame difference method and optical flow method. The optical flow method uses the optical flow characteristics of the moving target over time. The main advantage is that the target has less movement restrictions between frames; the disadvantage is that the calculation method is complicated and the real-time performance is difficult to guarantee. The inter-frame method detects moving objects based on the difference between adjacent frames. The inter-frame difference method has a strong ability to adapt to scene changes, and has a relatively strong anti-scene interference ability, which can avoid the interference of light changes in the scene. The disadvantage is that there is a "ho...

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
IPC IPC(8): G06T7/20H04N7/18
Inventor 尚凌辉高勇余天明张兆生马艳霞
Owner ZHEJIANG ICARE VISION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap