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A method for smoke detection through video surveillance

A video surveillance, smoke technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve problems such as inability to provide on-site, fire alarm errors, unreliability of smoke detectors, etc.

Inactive Publication Date: 2019-01-15
CHINA CHANGFENG SCI TECH IND GROUPCORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional smoke detectors are required to be placed near the place where the fire occurred, and cannot provide specific information on the scene, such as: the place where the fire occurred, the size of the fire, the speed of fire spread, etc.
Also, if the byproducts of combustion produced by other methods (such as smoking) are detected by the smoke detector, a fire alarm will also be issued, but this fire alarm is wrong
Therefore, traditional smoke detectors are unreliable

Method used

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  • A method for smoke detection through video surveillance
  • A method for smoke detection through video surveillance
  • A method for smoke detection through video surveillance

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Embodiment Construction

[0011] The invention detects the smoke by utilizing the two features of the smoke, static feature and dynamic feature, and first analyzes the static feature, extracts the area similar to the color of the smoke from the video image, and then performs dynamic feature analysis to detect the area extracted above , thereby excluding non-smoke regions that are similar in color to smoke.

[0012] 1. Static feature analysis

[0013] Color is one of the characteristics of smoke image information, and the area with smoke color in the image can be extracted through color detection. Smoke is reflective to light, so the color of the surrounding environment will have an effect on the smoke color. Example: At night, flames become the main light source and smoke appears red. So using in RGB color space, create a mixed Gaussian model to detect smoke color pixels. In this way, the system can adapt to changes in the environment and detect smoke more effectively.

[0014] 1.1 Establishment of...

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Abstract

The invention provides a method for smoke detection through video monitoring. The static and dynamic characteristics of smoke are used to detect smoke, static feature analysis is perform first, a region similar to smoke color is extracted from the video image, and then the region extracted from the video image is detected by dynamic feature analysis to determine whether the region has irregularities, diffusivity and translucency characteristics, and the region that does not accord with the above characteristics is regarded as a pseudo-smoke region, so as to exclude the non-smoke region similarto smoke color.

Description

technical field [0001] The invention relates to the field of video monitoring, in particular to a method for detecting smoke through video monitoring. Background technique [0002] Fires can cause significant economic losses and casualties. In the field of public safety, in order to avoid fires, many fire detection technologies are used, most of which are based on ion detection, temperature detection, relative humidity detection, air transparency detection, and traditional ultraviolet and infrared fire detectors. Most objects will produce smoke before burning, and smoke detection can realize early warning and alarm of fire. Traditional smoke detectors are required to be placed near the place where the fire occurs, and cannot provide specific information on the scene, such as: the place where the fire occurred, the size of the fire, and the speed of fire spread. Also, if the byproducts of combustion produced by other means (such as smoking) are detected by the smoke detecto...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62
CPCG06T7/60G06T7/90G06T2207/20064G06V10/56G06V10/751G06F18/24
Inventor 张梦巧王洁莹张喜明
Owner CHINA CHANGFENG SCI TECH IND GROUPCORP
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