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A method suitable for identifying and detecting fire flames in large spaces

A large space, flame technology, applied in character and pattern recognition, image data processing, instruments, etc.

Inactive Publication Date: 2012-02-22
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The above-mentioned invention has certain limitations in judging whether a fire has occurred only by the shape analysis detection method, and is not suitable for various large-space fire flame detection places, such as gymnasiums, museums, warehouses, etc.

Method used

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  • A method suitable for identifying and detecting fire flames in large spaces
  • A method suitable for identifying and detecting fire flames in large spaces
  • A method suitable for identifying and detecting fire flames in large spaces

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Embodiment Construction

[0016] The picture captured by the camera is converted into an analog signal and transmitted to the CCTV controller in the control room through optical fiber. On the CCTV controller, the analog signal is converted into a digital signal, part of which is sent to the computer monitor screen located in each monitoring room, the other part is sent to the digital monitoring host, and part of it is encoded (usually MPEG encoding) for storage. to the hard disk recorder.

[0017] Such as figure 1 As shown, the present invention includes processes such as preprocessing, motion detection, color detection, time-domain feature analysis, connected region search, shape analysis, and area change analysis.

[0018] Each part is described in detail below:

[0019] 1. Pretreatment

[0020] Due to the physical limitations of the camera's CCD photosensitive device during the shooting process, it is inevitable that noise will be introduced during the sampling process, which will affect the fina...

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Abstract

The invention provides a method suitable for fire flame identification and detection in a large space, which includes preprocessing the input video stream; performing motion detection on the video stream to obtain moving pixels; performing color detection on the video stream to obtain flame characteristics color pixels; perform frequency-domain analysis on all pixel points that meet the characteristics of motion detection and color detection flames; search for a connected area composed of all pixels that meet the same feature and are connected to each other; calculate the perimeter and area of ​​the resulting connected area, Carry out shape analysis; for each connected area, carry out area change analysis, and finally judge whether a fire has occurred. The method of the invention can distinguish real flames from flickering car lights in a large space, not only applicable to tunnel flame detection, but also applicable to various large space fire flame detection places, such as gymnasiums, museums, warehouses and the like.

Description

technical field [0001] The invention relates to a method suitable for fire flame recognition and detection in large spaces, which can distinguish real flames from flickering car lights in large spaces, and is suitable for fire monitoring places in large spaces, such as tunnels, warehouses, gymnasiums, and museums and other public places. Background technique [0002] Chinese invention patent application 200810121371.X discloses a method for identifying and detecting fire flames in tunnels, including preprocessing the input video stream to remove light; performing motion detection on the video stream to obtain motion pixels; and performing color detection on the video stream , to obtain pixels with the characteristic color of the flame; search for a connected region composed of all pixels that meet the same characteristics and are connected to each other; calculate the perimeter and area of ​​the resulting connected region, and perform shape analysis; for each connected regio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T7/00
Inventor 谢迪廖胜辉童若峰
Owner ZHEJIANG UNIV