Smoke detection method based on support vector machine and device

A technology of support vector machine and detection method, which is applied to computer components, fire alarms and instruments relying on smoke/gas effects, etc., can solve problems such as ineffective detection of smoke, false alarms, and inability to detect smoke

Active Publication Date: 2011-04-13
NETPOSA TECH
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Problems solved by technology

The above smoke detection methods are all for dynamic smoke detection, and cannot effectively detect slowly changing smoke
Therefore, in large indo

Method used

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  • Smoke detection method based on support vector machine and device
  • Smoke detection method based on support vector machine and device
  • Smoke detection method based on support vector machine and device

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Embodiment Construction

[0038] In order to enable your examiners to further understand the structure, features and other purposes of the present invention, the attached preferred embodiments are now described in detail as follows. The described preferred embodiments are only used to illustrate the technical solutions of the present invention, not to limit the present invention. invention.

[0039] figure 1 It is a flow chart of the smoke detection method based on the support vector machine of the present invention. Such as figure 1 Shown, the smoke detection method based on support vector machine of the present invention comprises the following steps:

[0040] Step 101, establish a background image, divide the continuous frame images into blocks according to the size of W*H, and then establish a background image for each sub-block;

[0041] Step 102: Obtain the foreground detection area, extract candidate initial areas from all the sub-blocks, then calculate the integral value of the sub-block, an...

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Abstract

The invention provides a smoke detection method based on a support vector machine. The method comprises the following steps of: (101) establishing background images: partitioning a continuous frame image into W*H blocks and then establishing background image for each subblock; (102) acquiring a foreground detection area; (103) calculating the characteristics of the foreground detection area; and (104) recognizing smoke areas according to the characteristics by adopting the support vector machine. The invention also provides a smoke detection device based on the support vector machine. The smoke detection method and the device based on the support vector machine can effectively detect smoke which slowly changes so as to solve the practical problem of recognition difficulty of smoke slowly changed in large indoor scenes, such as warehouses, large laboratories, and the like.

Description

technical field [0001] The invention relates to a smoke detection method, in particular to a smoke detection method based on a support vector machine. Background technique [0002] According to the law of fire occurrence, the appearance of fire smoke is earlier than that of open flame, so smoke detection technology is widely used in early warning of fire. Among smoke detection technologies, video-based smoke detection has become a research hotspot due to its advantages of non-contact and low cost. [0003] US patent application US 2007 / 0019071A1 discloses a smoke detection method that uses background estimation to extract smoke regions in an image. The Chinese patent application with publication number CN101059435A discloses a forest fire smoke detection method based on color CCD image analysis. The method uses wavelet analysis and multi-feature fusion algorithm to detect smoke on the image. The above smoke detection methods all simply use background segmentation without c...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G08B17/10
Inventor 陆奇星
Owner NETPOSA TECH
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