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Video flame smog detection method of multi-information fusion

A multi-information fusion and detection method technology, applied in the field of flame and smoke detection, can solve the problems of low detection accuracy of flame and smoke detection methods

Inactive Publication Date: 2017-08-18
江苏移动信息系统集成有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a multi-information fusion flame and smoke detection method to solve the problem of low detection accuracy of the existing flame and smoke detection methods in natural scenes

Method used

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  • Video flame smog detection method of multi-information fusion
  • Video flame smog detection method of multi-information fusion
  • Video flame smog detection method of multi-information fusion

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Embodiment

[0036] In this embodiment, flame and smoke detection is performed on a video of straw burning in farmland. The video is obtained from an actual surveillance camera, and there are many disturbances in the background. figure 2 The detection effect of fire smoke is gone. The specific implementation method includes the following steps:

[0037] Step 1: Input the initial image

[0038] Extract the first frame image in the video for input, and save it as a historical image.

[0039] Step 2: Changed Pixel Detection

[0040] Input the next frame of image, calculate the difference between each pixel in this image and the neighboring pixels in the historical image and take the absolute value, and then take the minimum value of all absolute values ​​for threshold comparison, and the pixels greater than the threshold Points are considered as foreground points, and pixels smaller than the threshold are considered as background points. This can eliminate the interference of video jitte...

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Abstract

The present invention discloses a video flame smog detection method of multi-information fusion. The method comprises the following steps: firstly, a changed pixel detection method is designed for extracting foreground pixels, and the method has little influence of video jitter; secondarily, all the pixels having large changes are subjected to color feature analysis to obtain pixels according with the flame smog color; the pixels are subjected to communication area segmentation; and finally, the areas are subjected to a series of shape, area and position logic determination to remove areas which are obviously not the flame smog areas to finally obtain a flame smog detection result. The video flame smog detection method of multi-information fusion improves the accuracy of a traditional flame smog detection method, reduces the false drop rate, can be applied in the complex video monitoring environment and has high robustness.

Description

technical field [0001] The invention belongs to the field of computer vision and pattern recognition, in particular to a multi-information fusion flame smoke detection method. Background technique [0002] The industrial application of intelligent video surveillance technology is in its infancy in China. The traditional video surveillance industry requires a lot of human resources to manually watch various network cameras and judge whether there are illegal acts or disasters. This monitoring mode not only wastes a lot of human and financial resources, but also is prone to negligence and omissions. Therefore, it is a mainstream industry trend to apply related technologies in computer vision to the field of video surveillance as an auxiliary means to improve the accuracy of monitoring events and reduce the investment of human resources. [0003] With the current domestic environmental pollution problems becoming prominent, the country has begun to control pollution sources. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/215G06T7/90G08B17/12
Inventor 王宏图郭华唐志鸿郑伟伟于慧敏陶志军
Owner 江苏移动信息系统集成有限公司
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