Video smoke event detection method based on bionic color sensing model

Abstract

The present invention provides a video smoke event intelligent detection method based on a bionic color sensing model. According to the method, a user selects a source video and uses a video smoke event intelligent detection method based on a bionic color sensing model to carry out smoke detection on the video, the alarming is carried out when smoke is detected and the frame of picture of the video is stored into a specified path, at the same time the specific time point of detecting the smoke is recorded in the video, and the recording information is stored in a text file format after the detection is completed. The method is different from a traditional sensor fire alarming method and is not limited by space height, thermal barrier, explosion, toxicity and other environmental conditions, the timely alarming can be carried out in a short time that the smoke appears in the video, and the method is suitable for multiple outdoor video scenes of forests, fields and the like.

Description

technical field

[0001] The invention generally relates to the field of computer intelligent monitoring video processing, in particular to an intelligent detection method for video smoke events based on a bionic color sensing model. Background technique

[0002] Fire refers to the disaster caused by burning out of control in time or space. Among various disasters, fire is one of the main disasters that most frequently and commonly threaten public safety and social development. Fire poses a great threat to human life, property and social security, and brings huge losses to the production and life of human society, and major safety accidents caused by it abound. In order to prevent fires, reduce fire hazards, and protect people's lives and property, there is an increasing demand for automatic fire detection systems. The success of these systems depends on the proper detection of physical quantities such as smoke, gas, temperature, etc., because these physical quantities can p...

Examples

Embodiment Construction

[0053] The implementation of the present invention will be further described below in conjunction with the accompanying drawings, but the implementation of the present invention is not limited thereto. It should be pointed out that if there are processes that are not specifically described in detail below, those skilled in the art can refer to the prior art. .

[0054] Such as figure 1 , the main flow of the video smoke event intelligent detection method based on the bionic color sensing model includes the following steps:

[0055](a) read in a video file;

[0056] (b) performing background modeling;

[0057] (c) Extracting the foreground target;

[0058] (d) Use the frame difference and color saturation information to perform preliminary judgment processing;

[0059] (e) Using the statistical results of the foreground color histogram to further judge and process.

[0060] Step (a) allows the user to select a video file from the local hard disk through the file selection ...

technical field

[0001] The invention generally relates to the field of computer intelligent monitoring video processing, in particular to an intelligent detection method for video smoke events based on a bionic color sensing model. Background technique

[0002] Fire refers to the disaster caused by burning out of control in time or space. Among various disasters, fire is one of the main disasters that most frequently and commonly threaten public safety and social development. Fire poses a great threat to human life, property and social security, and brings huge losses to the production and life of human society, and major safety accidents caused by it abound. In order to prevent fires, reduce fire hazards, and protect people's lives and property, there is an increasing demand for automatic fire detection systems. The success of these systems depends on the proper detection of physical quantities such as smoke, gas, temperature, etc., because these physical quantities can p...

Examples

Embodiment Construction

[0053] The implementation of the present invention will be further described below in conjunction with the accompanying drawings, but the implementation of the present invention is not limited thereto. It should be pointed out that if there are processes that are not specifically described in detail below, those skilled in the art can refer to the prior art. .

[0054] Such as figure 1 , the main flow of the video smoke event intelligent detection method based on the bionic color sensing model includes the following steps:

[0055](a) read in a video file;

[0056] (b) performing background modeling;

[0057] (c) Extracting the foreground target;

[0058] (d) Use the frame difference and color saturation information to perform preliminary judgment processing;

[0059] (e) Using the statistical results of the foreground color histogram to further judge and process.

[0060] Step (a) allows the user to select a video file from the local hard disk through the file selection ...

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