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

Real time movement detection method in use for video monitoring

A technology of motion detection and video surveillance, applied in television, image data processing, instruments, etc., can solve problems such as difficult probability distribution models, complexity, and large amount of calculation, and achieve intuitive detection results, strong portability, and The effect of small amount of computation

Inactive Publication Date: 2009-09-23
ZHEJIANG UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the complexity of motion, it is difficult for this method to use a unified probability distribution model to describe
In the learning process, all positions of the image must be traversed, so the training samples are large, the calculation is complex, and the calculation amount is large, which is generally not suitable for real-time processing.

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
  • Real time movement detection method in use for video monitoring
  • Real time movement detection method in use for video monitoring
  • Real time movement detection method in use for video monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0089] The motion detection and analysis steps of the method are:

[0090] 1. Video image segmentation and classification:

[0091] Each frame of video image is divided into small squares of 4×4 (pixels), and each small square in the current image is processed one by one according to the order from left to right in the x direction and from top to bottom in the y direction. Among them, the processing of the small square adopts such a method: mark all the pixels in the square as 0, 1, 2..., 15 from left to right, and then from top to bottom; generate a random number according to the current time, Use this number to divide 4×4, randomly select a pixel from the block according to the obtained remainder, and judge whether it is the foreground or the background; if the pixel is the background, finish processing this small block and proceed to the processing of the next block; If the pixel is the foreground, judge each pixel in the current small square one by one in order, and if it...

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 method comprises: making motion detection and analysis for the real-time video data to find the motion area in the video; using application program to create several Gaussian models for each pixel and to create several time-variant Gaussian models for each pixel in the video; according to the weighting sum of Gaussian model of current pixel received by the pixel location in current frame, distinguishing said pixel (fore-ground and back-ground), and real-time updating the Gaussian model and adjusting the amount of Gaussian models; marking the foreground with an appointed color; the marker can be moved along with the moving of motion area.

Description

technical field [0001] The invention relates to a motion detection method, and particularly designs a real-time motion detection method for video surveillance, which can detect motion areas in real time from acquired videos. Background technique [0002] Motion detection refers to the detection process of judging whether there is a moving object in a video image sequence. Moving target detection is the basis of target recognition and tracking. Since the video sequence is composed of a sequence of image frames with a certain continuity in time, the detection of moving objects in the video is realized by extracting the sequence of image frames from the video sequence according to a certain period. [0003] Many methods for motion detection and analysis have been proposed: [0004] 1. Optical flow-based methods: Optical flow is the motion information description of image brightness. Optical flow technology is based on the premise that the brightness of adjacent points in the...

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): H04N7/36G06T7/20
Inventor 张明敏洪晶
Owner ZHEJIANG UNIV
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