Smoke detection method based on video processing
First Claim
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1. A smoke detection method based on video processing comprising:
- capturing images in a monitored area by an image capturing device;
segmenting moving regions from the captured images by a computing device, each moving region comprising a plurality of pixels;
extracting a plurality of smoke pixels from the plurality of pixels in the moving regions according to a first rule by the computing device; and
determining whether the plurality of smoke pixels forms real smoke by the computing device according to a disorderness and a growth-rate of the plurality of smoke pixels, comprising;
determining the plurality of smoke pixels as real smoke by the computing device when a number of times which an average growth-rate of the smoke pixels is greater than a threshold of growth-rate exceeds a predetermined value within a time duration, wherein the average growth-rate of the smoke pixels is an average of the growth-rates of the smoke pixels, and each growth-rate of the smoke pixels denotes a difference between the numbers of smoke pixels at a first time slice and a second time slice divided by a time difference between the first time slice and the second time slice.
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Abstract
The static and dynamic characteristics of smoke are developed for extracting smoke pixels of an image and effective smoke detection. In static characteristic, a chromaticity-based analysis is employed to extract grayish pixels in the moving region from a monitored area. Then, a circumference-based disorder measurement in dynamic characteristic is developed to obtain the smoke pixels from the grayish pixels. To enhance the reliability of alarming, a fuzzy system is introduced to judge if the smoke will spread out by checking its growth-rate.
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15 Claims
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1. A smoke detection method based on video processing comprising:
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capturing images in a monitored area by an image capturing device; segmenting moving regions from the captured images by a computing device, each moving region comprising a plurality of pixels; extracting a plurality of smoke pixels from the plurality of pixels in the moving regions according to a first rule by the computing device; and determining whether the plurality of smoke pixels forms real smoke by the computing device according to a disorderness and a growth-rate of the plurality of smoke pixels, comprising; determining the plurality of smoke pixels as real smoke by the computing device when a number of times which an average growth-rate of the smoke pixels is greater than a threshold of growth-rate exceeds a predetermined value within a time duration, wherein the average growth-rate of the smoke pixels is an average of the growth-rates of the smoke pixels, and each growth-rate of the smoke pixels denotes a difference between the numbers of smoke pixels at a first time slice and a second time slice divided by a time difference between the first time slice and the second time slice. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A smoke detection method based on video processing comprising:
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capturing images in a monitored area by an image capturing device and segmenting moving regions from the captured images by a computing device, each moving region comprising a plurality of pixels; determining real smoke from the moving regions by the computing device wherein the real smoke comprising a plurality smoke pixels, comprising; determining the plurality of smoke pixels as real smoke by the computing device according to a disorderness and a growth-rate of the plurality of smoke pixels when a number of times which an average growth-rate of the smoke pixels is greater than a threshold of growth-rate exceeds a predetermined value within a time duration, wherein the average growth-rate of the smoke pixels is an average of the growth-rates of the smoke pixels, and each growth-rate of the smoke pixels denotes a difference between the numbers of smoke pixels at a first time slice and a second time slice divided by a time difference between the first time slice and the second time slice; and giving an alarm according to the number of smoke pixels of the real smoke and the time slices for the real smoke spanning across by a fuzzy system. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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Specification