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Indoor fire and flame detection method based on high-definition video images

A flame detection and high-definition video technology, applied in the field of indoor fire flame recognition of high-definition video images, can solve problems such as poor detection effect, lack of flame features, and inability to stably detect flame areas.

Active Publication Date: 2013-12-25
CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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Problems solved by technology

The color, shape, motion and other characteristics of the flame are analyzed through threshold filtering. Multiple threshold conditions will cause the lack of some features of the flame, and the flame area cannot be detected stably.
Although less flame features are better in simple scenes, the detection effect in complex environments is poor.

Method used

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  • Indoor fire and flame detection method based on high-definition video images
  • Indoor fire and flame detection method based on high-definition video images
  • Indoor fire and flame detection method based on high-definition video images

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Embodiment Construction

[0055] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0056] The present invention provides a method for detecting indoor fire flames based on high-definition video images. During specific implementation, the video images of the monitoring area collected by the monitoring camera 5 are transmitted to the monitoring computer 6, and the monitoring area 1 is equipped with an oil pan fire 2 and an incandescent fire. Light 3, fluorescent lamp 4, sunlight, red flags and other interference sources with flame color characteristics, the installed system composition diagram is as follows figure 2 shown. The computer uses the image analysis software of the pres...

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Abstract

The invention proposes an indoor fire and flame detection method based on high-definition video images. Firstly, a background image is established and updated in video monitoring images; sample picture elements are trained by a Fisher classifier so that a color model of flames is acquired; a foreground moving image is acquired through a background differencing method; flame suspected pixels are detected through color features of the fire flames, that is, pixel points (that is, suspected flame pixel points) with the color features of the flames are found in the foreground moving image and all of the suspected flame pixel points form a flame area; pixel connection areas are combined so that an external rectangle of the suspected flame area is acquired; circularity of the connection areas in the external rectangle is calculated according to morphological characteristics of the flames and a suspected flame area is judged according to the circularity, jitter analysis and flame continuity analysis and the like in the external rectangle; and if preset requirements are met, the suspected flame area is a real flame area and an alarm signal is sent out.

Description

technical field [0001] The invention belongs to the technical field of image fire detection, specifically relates to computer image processing and video flame identification, and in particular to an indoor fire flame identification method for high-definition video images. Background technique [0002] Fire is one of the great threats to the safety of people's lives and property. Fire detection is an important direction in the field of safety monitoring and detection. Compared with other existing automatic fire monitoring methods (smoke detectors, temperature detectors, etc.), based on The video fire detection system has a long effective detection distance and wide coverage, and is widely used in the existing fire detection technology. [0003] Early video flame detection research focused on the color characteristics of flames. Healey (IEEE Computer Vision and Pattern Recognition Conference. New York: IEEE, 1993: 605-606) performed fire recognition by analyzing the color info...

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Application Information

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IPC IPC(8): G06T7/20G06T7/40
Inventor 潘李伟张启兴任好王静顾立春
Owner CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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