Video flame detection method based on fusion of multiple classifiers

A multi-classifier fusion and flame detection technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of small detection range, large impact on fire criteria, high false recognition rate, etc., and achieve good detection results , Improve the effect of high reliability and applicability

Active Publication Date: 2018-11-27
LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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Problems solved by technology

[0002] With the continuous development of video surveillance technology and the increasing density of monitoring points, video-based flame detection has become one of the topics with great theoretical research value and practical application value, and it is also a hot issue in the field of fire detection; traditional non- Most of the contact detectors can only be used for the detection of small indoor spaces. They have the disadvantages of small detection range, great influence of the environment and single fire criterion. The traditional detection method solves t

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  • Video flame detection method based on fusion of multiple classifiers
  • Video flame detection method based on fusion of multiple classifiers
  • Video flame detection method based on fusion of multiple classifiers

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[0040] Such as figure 1 As shown, the present invention provides a kind of video flame detection method based on multiclassifier fusion, comprising the following steps:

[0041] Step 1: read video flame image sequence;

[0042] Step 2: Preliminarily segment the candidate flame area based on the YCbCr color space, and segment the area with flame color from the video image sequence;

[0043] Step 3: Extract texture features, overall movement features, and stroboscopic features from the initially segmented candidate flame regions;

[0044] Step 4: Input the three kinds of features extracted in step 3 into support vector machine classifier, naive Bayesian, decision tree and random forest classifier for analysis;

[0045] Step 5: Perform multi-classifier fusion based on the confidence function (D-S evidence theory) for the four classifiers used in step 4. During the fusion process, when there is a conflict between the output results of the multi-classifiers, use the rejection cri...

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Abstract

The invention relates to a video flame detection method based on fusion of multiple classifiers. The method comprises: firstly, using a color space base on YCbCr to primarily segment a candidate flameregion; then extracting a whole moving feature, a texture feature and a stroboscopic feature of flame from the candidate flame region; respectively inputting the three flame features into four classifiers of a support vector machine, a naive Bayesian, a decision-making tree and a stochastic forest for analysis; finally, providing a detection identification method for fusion of multiple classifiers based on a confidence coefficient function (D-S evidence theory), especially when the same feature is input to different classifiers, output results having conflict. The invention provides a rejection criterion to solve the conflict. The invention can effectively improve reliability and applicability of the video flame detection technology, and has characteristics of high accuracy and low falsealarm rate.

Description

technical field [0001] The invention belongs to the field of flame detection, in particular to a video flame detection method based on multi-classifier fusion. Background technique [0002] With the continuous development of video surveillance technology and the increasing density of monitoring points, video-based flame detection has become one of the topics with great theoretical research value and practical application value, and it is also a hot issue in the field of fire detection; traditional non- Most of the contact detectors can only be used for the detection of small indoor spaces. They have the disadvantages of small detection range, great influence of the environment and single fire criterion. The traditional detection method solves the problem of limited detection range and propagation delay through video monitoring of flames. However, the current flame detection still has the problems of low algorithm detection rate, high misrecognition rate, and scene change alg...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/40G06V10/56G06F18/2411
Inventor 曹江涛姬晓飞秦跃雁卢鑫
Owner LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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