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

Method and device for detecting smoke in video image sequence

A technology in video images and images, used in image analysis, image data processing, instruments, etc.

Active Publication Date: 2010-08-04
NETPOSA TECH
View PDF4 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the method is based on the background, it is still affected by lighting, noise and background texture

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 device for detecting smoke in video image sequence
  • Method and device for detecting smoke in video image sequence
  • Method and device for detecting smoke in video image sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0084] According to the first preferred implementation mode of the present invention, the fifth step 105 of the smoke detection method in the video image sequence of the present invention may include: calculating the histogram of the optical flow direction of the initial detection area; The number of the same-value pixels in the histogram of the optical flow direction and determine the maximum value of these numbers; calculate the number of same-value pixels included in the surrounding range of the maximum value of the number of same-value pixels in the initial detection area The ratio of the number of pixels in the histogram to the number of pixels in the histogram; determine the number of pixels of the same value in the surrounding range of the maximum number of pixels of the same value in the number of pixels in the histogram Whether the ratio of is greater than a predetermined seventh threshold T7, if the ratio is greater than the seventh threshold T7, the initial detection...

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 method for detecting smoke in a video image sequence. The method comprises the following steps of: 1, calculating the optical flow direction of each pixel in an interframe difference image of a video image frame; 2, determining the type of the optical flow direction of each pixel according to the deviation between the optical flow direction of each pixel and the background direction at the same pixel position and calculating the integral value corresponding to each pixel based on the type of the optical flow direction of each pixel; 3, determining whether each pixel is a smoke point according to the integral value corresponding to each pixel; 4, obtaining an initial detection area formed by all the smoke points; and 5, judging whether the obtained initial detection area is a smoke area. The method has the advantages of avoiding background establishment, eliminating the influence of illumination, noise and background textures and improving the reliability of smoke detection.

Description

technical field [0001] The invention relates to image processing and video monitoring, in particular to a method and device for detecting smoke in video image sequences. Background technique [0002] According to the law of fire occurrence, the appearance of fire smoke is earlier than that of open flame, so smoke detection technology is widely used in early warning of fire. Among smoke detection technologies, video-based smoke detection has become a research hotspot due to its advantages of non-contact and low cost. [0003] US patent application US 2007 / 0019071A1 discloses a smoke detection method that uses background estimation to extract smoke regions in an image. The Chinese patent application with publication number CN 101059435A discloses a forest fire smoke detection method based on color CCD image analysis, which uses wavelet analysis and multi-feature fusion algorithm to detect smoke from the image. The above smoke detection methods simply use background segmentat...

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): G06T7/20
Inventor 陆奇星
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