Feature analysis-based video flame detecting method

A technology of flame detection and feature analysis, applied in the field of pattern recognition, which can solve the problems of false negatives, false positives, single discriminative features, unsatisfactory adaptability and stability, etc.

Inactive Publication Date: 2010-12-08
丁天 +3
View PDF5 Cites 46 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Some existing video flame detection methods, either because of weak anti-interference ability, or because the discriminant features used are relatively simple, m

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
  • Feature analysis-based video flame detecting method
  • Feature analysis-based video flame detecting method
  • Feature analysis-based video flame detecting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] figure 1 A schematic diagram of the system composition of the video flame detection method based on feature analysis of the present invention is given: the video image of the monitored area C captured by the surveillance camera D is transmitted to the embedded intelligent video flame detector A, and the embedded intelligent video flame detector A Utilize the embedded video image analysis program written according to the operation flowchart of the video flame detection method based on feature analysis of the present invention to analyze the captured video images in real time. If it is judged that there is a flame in the monitored scene, the embedded intelligent video flame detector A automatically sends out an alarm signal and links the fire extinguishing device B to extinguish the fire, and at the same time transmits the alarm event to the back-end monitoring platform E; if it is judged that there is no flame in the monitored area, Then return to the first step of the p...

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 feature analysis-based video flame detecting method. For a video image acquired by a monitoring camera in a fixed visual field. the method comprises the following steps of: firstly, performing binary cutting of the image by maximum between-cluster variance method and acquiring a foreground region; secondly, removing noise points by morphological filtering, and counting a plurality of features of the foreground region, such as colour illumination, geometry, diffusion property, irregularity, sparkling frequency and the like; and finally, comprehensively judging the calculated features of the foreground region to judge whether the video image has flame or not. The binary cutting of the image by maximum between-cluster variance method can reduce the influence of a large amount of disturbances. At the same time, in order to overcome the defect of single or few discriminating features of the currently usually used flame detecting method, the method extracts the plurality of features of the foreground region acquired by the maximum between-cluster variance method to make a comprehensive judgment, so the method realizes quick and accurate judgment that whether the video image has flame or not and greatly reduces false alarm rate.

Description

technical field [0001] The invention belongs to the field of pattern recognition, specifically relates to the technical field of fire monitoring, in particular to a video image pattern recognition method based on feature analysis to detect flame phenomena in the video. Background technique [0002] The prevention and detection of fire has always been the goal pursued by human beings in the process of fighting against fire. For the indoor environment, smoke-sensing, temperature-sensing, and light-sensing detectors can be installed, which use the characteristics of smoke, temperature, and light of fire flames to detect fires. But for a long time, in tall spaces or outdoors, early fire detection has been a difficult problem worldwide. Because in this type of environment, there are many factors that affect fire detection, mainly including: detection method, space height, heat barrier, coverage, air velocity, explosive / toxic gas, acceptable false alarm rate, alarm information ma...

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): G06K9/00G06K9/62G06T7/00G08B17/00
Inventor 丁天甘智峰邵文简赖页
Owner 丁天
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap