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

Video monitoring method and system

A video surveillance system and video surveillance technology, applied in the field of image processing, can solve the problems of reducing security, unable to judge whether to enter a dangerous area, omission of abnormal conditions, etc.

Active Publication Date: 2014-04-09
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF2 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in traditional video monitoring methods, the image frames obtained by the camera can only reflect the plane information of the monitoring site. When the moving foreground moves axially in the direction of the focal length of the camera, it is impossible to judge whether it has entered the dangerous area, which makes monitoring. Missing some abnormal conditions and sending out alarms, which reduces safety

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
  • Video monitoring method and system
  • Video monitoring method and system
  • Video monitoring method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] In one embodiment, such as figure 1 As shown, a method for obtaining image information includes the following steps:

[0064] Step S102, collecting image frames of multiple cameras, and extracting a moving foreground according to the image frames.

[0065] The image data collected by the camera is in the form of continuous image frames. A moving foreground is a region of pixels that changes in successive image frames.

[0066] In one embodiment, the moving foreground of the image frame can be extracted by background subtraction according to the mixed Gaussian model.

[0067] In this embodiment, the mixed Gaussian model can be defined in advance, and the defined mixed Gaussian model is:

[0068] P ( X t ) = Σ k = 1 K w k , ...

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 provides a video monitoring method. The video monitoring method comprises the following steps that: image frames of a plurality of cameras are acquired and a moving foreground is extracted according to the image frames; pixel coordinates of the moving foreground in the image frames are obtained; three-dimensional space coordinates of the moving foreground are calculated according to the pixel coordinates as well as the focal lengths and special distances of the plurality of cameras; and abnormal events of the moving foreground are triggered according to the three-dimensional space coordinates. In addition, the invention also provides a video monitoring system. The video monitoring method and system can improve the accuracy of abnormal event triggering, such that safety can be improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a video monitoring method and system. Background technique [0002] In the traditional video monitoring method, a camera is usually set in advance at the monitoring site, and the video data of the monitoring site is collected through the camera, and the video data is usually in the form of continuous image frames. The image frame includes a background and a moving foreground, and the moving foreground is an area where pixels in the image frame change. For example, when a pedestrian passes by the monitoring scene, the moving area occupied by the pedestrian in the acquired continuous image frames is the moving foreground, while the relatively static monitoring scene is the background part of the image frame. [0003] In the traditional technology, the moving foreground of the image frame is usually extracted first, and then it is detected whether the extracted moving fore...

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): H04N7/18G06T7/00G06K9/62
Inventor 陈彦伦徐旦赵鲲鹏吴新宇徐扬生
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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