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

Moving object detection method based on entropy

A detection method and technology for moving objects, applied in the field of moving object detection based on entropy value, can solve problems such as casualties and power grid outages

Inactive Publication Date: 2014-07-09
GUIZHOU POWER GRID CO LTD
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When workers are in construction, once they operate improperly, machinery such as hanging towers and excavator booms will break high-voltage wires, which can easily cause casualties, power grid outages and other serious accidents.

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 entropy
  • Moving object detection method based on entropy
  • Moving object detection method based on entropy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0073] apply the invention to image 3 The transmission line scenario shown. First proceed to step (1):

[0074] For a color image pixel whose three components are R, G, and B, the brightness I of this point is calculated according to the following formula:

[0075] I=0.3B+0.59G+0.11R (1)

[0076] According to the formula (1), the color scene image is converted into image 3 Scene images shown in grayscale.

[0077] Then proceed to step (2) to calibrate the monitoring area in the scene image, such as Figure 4 As shown, the monitoring area can be calibrated according to the actual scene image and marked with a similar rectangular frame, which is the prior art. Then to Figure 4 Two adjacent frames of images in the monitoring area in the center are differentially calculated according to formula (2),

[0078] D. k (x,y)=|f k+1 (x,y)-f k (x,y)| (2)

[0079] In formula (2), f k+1 (x,y), f k (x, y) respectively represent the k+1 and k frame images, D k (x, y) represen...

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 moving object detection method based on entropy. Firstly, data of scene graphs are read in, graying processing is carried out on the data, then monitor areas of a scene are marked, difference operation is carried out on every two adjacent frames of gray level images of each monitor area, an optimal threshold of division of the images is determined based on the entropy of the difference operation result, then morphological filter is carried out on the divided images, connected areas are detected, and the detected connected areas are marked; finally, the area of each connected area is calculated, the connected area with the largest area is marked as a moving object, and the moving object is output. Multiple image processing basic methods are applied comprehensively, the technologies in the current computer vision and mode identification fields are introduced into the intelligent monitor field of transmission lines, moving detection of large machines in the transmission line scene is achieved through the related vision information in the transmission line scene, and therefore influence on the transmission line by external force damage is prevented.

Description

technical field [0001] The invention relates to the technical field of intelligent monitoring of power transmission lines, in particular to an entropy-based moving target detection method using a pattern recognition method in the development of computer vision technology. Background technique [0002] In recent years, driven by the sustained development of the national economy, my country's electricity demand has grown rapidly, and the coverage of the power network has also rapidly expanded. Power lines have wide distribution areas, long transmission distances, complex and changeable terrain conditions, and are greatly affected by environmental climate Features. At the same time, for the economically developed coastal provinces and regions in the east, the power transmission and distribution network passes through cities and villages in large numbers, which is disturbed by people's life and production activities. loss. Such events are usually concealed and sudden, and it is...

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): G06T7/20G06T7/00
Inventor 虢韬杨恒徐梁刚
Owner GUIZHOU POWER GRID CO LTD
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