Fire video detection and early warning method based on image multi-feature fusion

A multi-feature fusion and video detection technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of insufficient detection ability of smoldering fire, delay, and inability to detect fires in time and accurately, so as to improve image quality , the effect of removing noise

Active Publication Date: 2019-11-29
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

The current traditional fire detection equipment is mainly based on temperature-sensing and smoke-sensing detectors, but this kind of sensor-based detectors need to reach their detection threshold before alarming, the delay is serious, and because the detection range is small, it needs to be installed in a large space. Large-scale laying can only achieve the detection effect, resulting in high cost
In addition, in tall buildings, forests, tunnels, etc., due to the dilution of space and airflow, such equipment often cannot detect fires in time and accurately.
[0003] With the development of video surveillance systems, surveillance cameras have spread all over the streets and alleys. Combining image processing and image recogniti

Method used

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  • Fire video detection and early warning method based on image multi-feature fusion

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Embodiment 1

[0115] Such as figure 1 As shown, the present embodiment provides a fire video detection and early warning method based on image multi-feature fusion, including the following steps:

[0116] S1 performs denoising preprocessing on the acquired video image sequence using a median filter method;

[0117] S2 uses the improved method based on the gradient motion history graph to establish a background model for the preprocessed image to extract the motion area;

[0118] S3 uses the color models of flame and smoke to extract the pixels in the moving area to obtain color suspected areas;

[0119] S4 performs a morphological closing operation on the suspected color region to obtain a smooth and continuous suspected region;

[0120] S5 extracts the dynamic and static features of the suspected area;

[0121] S6 uses the extracted flame feature value as the input of the SVM classifier to judge whether it contains flame, and at the same time, calculates the extracted smoke feature and ...

Embodiment 2

[0125] This embodiment is further optimized on the basis of Embodiment 1, specifically:

[0126] In the step S1, using the median filter for the obtained video image sequence is specifically:

[0127] Traverse and calculate the gray value of each pixel of the initial image, and calculate the median value of the gray value in the 3×3 neighborhood of each pixel to replace the original gray value of the pixel, which can effectively remove the noise in the image, Especially salt and pepper noise, which improves image quality.

[0128] In the step S2, the method based on the gradient motion history map is used to extract the motion area, and the motion area extraction result is as follows figure 2 As shown, the white is the motion area, and the black is the background, which specifically includes the following steps:

[0129] S21 first calculates the binary gradient map BGI(x, y), the calculation formula is:

[0130]

[0131] Among them, BGI x (x,y) and BGI y (x, y) are th...

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Abstract

The invention discloses a fire video detection and early warning method based on image multi-feature fusion, and the method comprises the steps: firstly carrying out the preprocessing after an image sequence of a video is obtained; extracting a foreground region, and obtaining a detected candidate region; secondly, extracting static features and dynamic features from the candidate areas, judging whether flames are contained or not by taking the static features and dynamic features as input of an SVM classifier when the flames are detected, and obtaining whether smoke is contained or not afterlogic combination selection and calculation are conducted on feature judgment results when the smoke is detected; finally, if it is detected that flames or smoke exists, carrying out fire judgment according to the growth trend of the flames or smoke; when it is judged that a fire occurs, carrying out fire alarm on the monitoring site, and otherwise carrying out fire alarm only on the background. The method can be combined with an existing monitoring system to be applied to places such as shopping malls and warehouses, the fire detection and early warning cost is reduced, the detection method is good in generalization ability and applicability, reliable fire detection and early warning functions can be provided, and the method has practical value.

Description

technical field [0001] The invention relates to the field of image processing and recognition in computer vision, in particular to a fire video detection and early warning method based on image multi-feature fusion. Background technique [0002] Fire is one of the main threats to the safety of human life and property. With the development of society, the harm caused by fire to human society and the natural environment is becoming more and more serious. Therefore, it has become an important research topic to be able to detect fire accurately and quickly. The current traditional fire detection equipment is mainly based on temperature-sensing and smoke-sensing detectors, but this kind of sensor-based detectors need to reach their detection threshold before alarming, the delay is serious, and because the detection range is small, it needs to be installed in a large space. Large-scale laying can only achieve the detection effect, resulting in high cost. In addition, in tall bui...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/46G06K9/62
CPCG06V20/41G06V20/46G06V10/30G06V10/56G06F18/2411G06F18/253
Inventor 陈美娟何爱龙管铭锋
Owner NANJING UNIV OF POSTS & TELECOMM
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