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Method for identifying video smog in combination with color and appearance characteristics

A recognition method and smoke technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of difficult to achieve the recognition effect, without considering the inclusion of brightness information, etc., and achieve stable processing effect, fast speed and low calculation volume small effect

Inactive Publication Date: 2016-06-22
XI AN JIAOTONG UNIV
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Problems solved by technology

Ochoa-BritoAlejandro improved the threshold selection problem of color detection in the F.Yuan method by trial and error, but still did not take into account the fact that the three channels in the RGB color space contain brightness information, so there are differences between the three channels. Strong correlation, especially in the case of dark-color distractors with similar RGB three-channel values, it is difficult to achieve ideal recognition results only by relying on the above-mentioned color discrimination basis

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  • Method for identifying video smog in combination with color and appearance characteristics
  • Method for identifying video smog in combination with color and appearance characteristics
  • Method for identifying video smog in combination with color and appearance characteristics

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Embodiment Construction

[0042] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0043] The distribution of pixel values ​​of each channel of smoke is affected by many independent random factors, and the influence of each factor is very small, so theoretically, the distribution of pixel values ​​of each channel of smoke can be approximated as a normal distribution. In order to test the acceptability of this conclusion, a total of 126,447 smoke pixels were extracted from 36 smoke-containing frames, and the distribution of their values ​​on the RGB three channels was counted. The results are as follows: figure 2 (b) ~ (d) shown. Compared figure 2 (a) The curve of the standard normal part and the distribution of BGR three channels, it can be seen that it is acceptable to approximate the distribution of smoke pixel values ​​to a normal distribution.

[0044] Considering that all three channels in ...

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Abstract

The invention discloses a method for identifying video smog in combination with color and appearance characteristics. The method has good realtimeness and accuracy. The method first detects a foreground target of a current input frame by using a ViBe foreground detection algorithm, analyzes and trains, after morphological treatment, correlative data and computes the color probabilities of four channels including RGBa in order to remove a pseudo smog area, and eliminates other pseudo smog areas by appearance characteristics including smog and contour complexity, edge density and the like so as to further increase identification accuracy. A plenty of experiments and simulations manifest the good performance of the method for identifying video smog in combination with color and appearance characteristics.

Description

technical field [0001] The invention belongs to the field of video smoke recognition for indoor or outdoor fire prevention, and in particular relates to a video smoke recognition method combining color and shape features. Background technique [0002] Fire is a frequent disaster with a large span of time and space, which often causes direct property loss, a large number of casualties and serious ecological environment damage. Therefore, timely detection and early warning of fire is undoubtedly crucial. The traditional manual inspection method has the problems of low efficiency and high cost. Although the sensor-based detection method has made some progress, it also has the problem of limited detection range and hysteresis caused by the trigger threshold. Thanks to the continuous improvement and popularization of digital image processing technology, the flame recognition and smoke recognition technology based on video images has achieved great development in recent years. In...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/52G06V10/457G06V10/56
Inventor 葛思擘王森邹建华马玉洁
Owner XI AN JIAOTONG UNIV
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