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Video- analysis-base smoke detecting method

A detection method and video analysis technology, applied in the direction of fire alarms, instruments, characters and pattern recognition relying on the effect of smoke/gas, can solve the problems of low reliability and efficiency, improve accuracy and efficiency, reduce The effect of false alarm rate and high practicability

Inactive Publication Date: 2011-07-27
FIRS INTELLIGENT TECH SHENZHEN
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

These methods basically use a relatively single method to detect smoke videos, and the reliability and efficiency are low.

Method used

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  • Video- analysis-base smoke detecting method
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  • Video- analysis-base smoke detecting method

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Embodiment Construction

[0021] Specific embodiments of the present invention will be further described in detail below.

[0022] Such as figure 1 As shown, the smoke detection method of the present invention first carries out video collection, and the video information collected is sequentially processed through mixed Gaussian background modeling, foreground moving object tracking, SVM off-white detection, high-frequency signal wavelet detection, smoke LBP texture Adaboost classifier, etc. Step by step sorting and screening, and finally get the test results.

[0023] The method of the invention is realized with the support of a digital camera as a sensor, and the smoke detection principle mainly utilizes the characteristics of smoke such as continuous motion, off-white color, blurred background during motion, translucency, and special texture for analysis. The following is attached figure 1 The schematic diagram of the algorithm is shown, and the specific implementation of the method is described i...

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Abstract

The invention discloses a video-analysis-based smoke detecting method, which is realized by taking a digital camera as a sensor and under support of a digital signal processing chip. The method is characterized by comprising the following steps: collecting digital video by utilizing the digital camera; screening out a foreground part containing a movement part; screening out an area with likeness by using a support-vector-machine detector; analyzing high-frequency signal change by applying wavelet transform, and screening out a digital image of which the background is in gradually fuzzy change; and screening out digital images with smoke texture characteristics by using an Adaboost cascade classifier pairs. By combining moving object extraction by background modeling, grey area screening by a support-vector-machine (SVM) classifier, high-frequency signal change analysis by wavelet transform, the smoke texture characteristic cascade classifier and other methods, the method greatly improves the accuracy and efficiency of smoke detection, reduces the false alarm rate and has high robustness and higher practicality.

Description

technical field [0001] The invention belongs to a video detection method, in particular to a video-based smoke detection method for early warning of fire. Background technique [0002] Current fire detection methods include gas detection, temperature detection, smoke detection, etc. Since gas and temperature detection needs to be detected by sensors at close range, dense installation of sensors is required, which will be unrealistic for large-scale fire prevention such as forests. The method of detecting smoke based on video image analysis is an emerging fire early warning technology. This technology uses digital cameras as sensors to continuously shoot the monitoring area to form on-site digital video and transmit it to the main control processor. The intelligent video image analysis algorithm running in the main control processor will process, analyze, identify and statistically track the input digital video images, and finally detect areas where smoke may exist, as an ea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G08B17/10
Inventor 赵春水
Owner FIRS INTELLIGENT TECH SHENZHEN
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