Indoor scene flame detection method

A technology for indoor scenes and detection methods, which is applied in the directions of instruments, character and pattern recognition, computer components, etc., and can solve the problems that small flames are difficult to accurately detect and track

Active Publication Date: 2016-12-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0007] The present invention provides an indoor scene flame detection method for the above shortcomings, which solves the problem in the prior art that it is difficult to accurately detect and track whether there are initial flames or small flames that may cause fires

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Embodiment Construction

[0063] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0064] Step 1. Input the video to be detected, extract each frame image of the video and perform noise reduction and contrast enhancement preprocessing operations;

[0065] Step 2. Use the inter-frame difference method to obtain the differential image of each frame image after preprocessing, and obtain a region of interest (ROI) with improved resolution; the specific process is:

[0066] Step 21. Read in each frame of image preprocessed in step 1, and calculate the difference between the two frames of images in time sequence. Through the difference image, the interference of the invariant object in the background can be removed, and the detection target (flame target) can be determined. range, to get the region of interest (ROI);

[0067] Step 22, obtain the region of interest (ROI) that improves resolution with bicubic interpolation algorithm, involve...

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Abstract

The invention discloses an indoor scene flame detection method and belongs to the application fields of a visible light image, video processing and the like. In the prior art, whether an initial stage flame and a small flame which may cause a fire hazard exist is difficult to accurately detect and track. By using the method of the invention, the above problem is solved. In the invention, color space conversion and segmentation of the visible light image are taken as a basis, and a morphological characteristic of the flame is combined so as to carry out distinguishing. Because a component channel of the flame image in a YCbCr color space possesses obvious gradient intensity and gradient distribution characteristics, a support vector machine is used to learn and identify an HOG characteristic, and in a dynamic video, through a transient frame difference and a center of mass drift algorithm, tracking of a flame target is realized. A lot of indoor flame image and video sample tests show that the method has advantages that an identification rate is high; a detection speed is fast; a false alarm rate is low and reliability is high compared to a traditional method. The method aims at detection and tracking of the initial stage flame, the small flame and the like.

Description

technical field [0001] A flame detection method in an indoor scene is used for the detection of flames, and relates to the application field of visible light image target recognition and detection, and specifically relates to the detection and tracking of initial flames and small flames. Background technique [0002] Fire is one of the most common serious disasters, which directly endangers human life and property, causes environmental pollution, and even ecological balance. At present, the automatic fire alarm technology at home and abroad is mainly based on the detection of sensors. However, in large spaces such as outdoor warehouses and large indoor warehouses, the sensor signal becomes very weak due to the huge space. Even high-precision sensors cannot work due to various interfering noises. The vision-based fire detection technology detects the various visual features accompanying the fire, so as to realize whether the fire has occurred or not. In recent years, due t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/36G06V20/44G06V20/41
Inventor 杨琛张圳李丹姜哲燕肇一李倩仪彭真明
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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