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

Video-based flame detection method and apparatus

A flame detection and video technology, applied in the field of video-based flame detection, can solve the problems of difficulty in detecting SIFT key points, low accuracy of flame detection results, etc., to achieve the effect of improving accuracy and simple obtaining process.

Active Publication Date: 2017-06-09
BEIJING UNIV OF POSTS & TELECOMM
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The motion estimation of the motion descriptor based on the bag of words model uses SIFT (Scale-invariant feature transform) matching to calculate motion information, but in actual use, it is difficult to detect SIFT key points on the motion area , resulting in lower accuracy of flame detection results

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-based flame detection method and apparatus
  • Video-based flame detection method and apparatus
  • Video-based flame detection method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0072] refer to figure 1 , figure 1 The first schematic flow chart of the video-based flame detection method provided by the embodiment of the present invention, the method includes the following five steps:

[0073] S101. Calculate the motion amplitude and motion direction of each pixel in the first motion area of ​​the target video frame, wherein the first motion area is a motion area in the target video frame;

[0074] In this step, the Gaussian mixture m...

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 embodiments of the invention provide a video-based flame detection method and an apparatus wherein the method comprises the following steps: calculating the motion amplitude and motion direction of each pixel point in the first motion region of a target video frame; according to the calculated motion amplitudes, calculating the average motion amplitude of the pixel points in the first motion region; based on the average motion amplitude, the motion amplitude and the motion direction of each pixel point, determining the number of the effective pixel points in each direction section; based on the numbers of the effective pixel points in all direction sections, calculating the dispersion degree of the effective pixel points; and according to the dispersion degree, determining whether the first motion region belongs to a flame region or not and obtaining the detection result based on the motion attributes. The technical schemes of the embodiments are capable of increasing the accuracy of a flame detection result.

Description

technical field [0001] The invention relates to the technical field of fire detection, in particular to a video-based flame detection method and device. Background technique [0002] As cities continue to expand in size and population density, fire safety becomes more and more important. At present, target places (such as densely populated places, warehousing and logistics workplaces, and places in tall buildings) are monitored through video surveillance systems to obtain video frames of target places, and combined with computer vision technology, flames in the monitoring area can be identified. In this way, the flames generated in the target place can be detected as early as possible, so that the staff can deal with them in time to avoid the occurrence of major fires. [0003] A video flame detection method for identifying flames through computer vision technology for video frames mainly uses attributes of flames for detection, for example, motion attributes of flames. Th...

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): G06K9/00G06T7/90G06T7/60
CPCG06T7/60G06T2207/10016G06T2207/10024G06V20/40
Inventor 马华东刘武傅慧源李双群王宇鹏
Owner BEIJING UNIV OF POSTS & TELECOMM
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