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

Method and system for identifying moving objects

A recognition method and technology of moving objects, applied in the field of video surveillance, can solve problems such as inability to detect stationary vehicles, speed limit of moving objects, inability to fully extract feature pixels, etc.

Active Publication Date: 2010-06-16
NETPOSA TECH
View PDF0 Cites 118 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that it is generally not possible to fully extract all relevant feature pixels, and it is easy to generate holes inside the moving entity. It is not robust to region-based moving target tracking, and it cannot detect stationary vehicles. The target's speed is limited
The disadvantage of this method is that due to the use of a large number of training samples and the continuous updating of sample information in practical applications, the amount of calculation is extremely large.

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
  • Method and system for identifying moving objects
  • Method and system for identifying moving objects
  • Method and system for identifying moving objects

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0120] Further details will be given below in combination with specific embodiments and accompanying drawings.

[0121] figure 1 It is a schematic flow chart of the moving target recognition method of the present invention, such as figure 1 As shown, the moving target recognition method includes:

[0122] Detect the target 10, extract the region of interest from the video image; track the target 20, establish the correlation and consistency between the extracted regions between frames and frames, and form the target; classify the target 30, classify the region and the target through the classification method Classify, the taxonomy includes area taxonomy and target taxonomy.

[0123] First, the first step is to detect the target 10 and extract the region of interest from the video image. figure 2 It is a schematic flow chart of detecting a target in the moving target recognition method of the present invention, such as figure 2 As shown, the process of detecting targets i...

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 a system for identifying moving objects. The method for identifying the moving objects comprises the following steps: detecting the objects, namely extracting interesting areas from a video image; tracking the objects, namely establishing the association and consistency between the extracted areas between the frames to form the objects; and classifying the objects, namely classifying the areas and the objects by a classification method, wherein the classification method comprises an area classification method and an object classification method. The method and the system realize detection, tracking and classification of the moving objects, and solve the problems of image jitter, brightness change, shadow, leaf swing and the like.

Description

technical field [0001] The invention relates to video monitoring technology, in particular to a method and system for identifying moving objects in an intelligent video monitoring system. Background technique [0002] Moving target recognition is a key module of the intelligent video surveillance system, which directly affects the subsequent processing. Usually moving target recognition includes: detection, tracking, classification. [0003] The purpose of detection is to segment the moving object area in the video scene from the background. Due to the change of illumination, the interference of chaotic background movement, the shadow of moving objects, the shaking of cameras, and the existence of self-occlusion and mutual occlusion of moving objects, it brings great challenges to the correct detection of moving objects. In order to realize the detection of moving objects, optical flow method and inter-frame difference method can be used. The optical flow method uses 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
IPC IPC(8): G06K9/00G06K9/60G06T7/20
Inventor 曾建平王正杨学超袁雪庚菅云峰
Owner NETPOSA 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