Cigarette smoke detection method based on computer vision

A computer vision and detection method technology, applied in computer parts, calculations, instruments, etc., can solve the problems of low smoking smoke concentration and small range

Inactive Publication Date: 2014-09-17
YANSHAN UNIV
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  • Abstract
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Problems solved by technology

However, compared with the smoke produced by fire, smoking smoke has a low concentration and a small range, so it is different from fire smoke in the process of a

Method used

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  • Cigarette smoke detection method based on computer vision
  • Cigarette smoke detection method based on computer vision
  • Cigarette smoke detection method based on computer vision

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Embodiment Construction

[0051] The present invention will be further described below in conjunction with accompanying drawing:

[0052] like figure 1 , 2 In the flow chart of the two stages of the present invention shown, the detection method of the present invention mainly includes a training generation classifier stage and a smoking smoke detection stage;

[0053] The general process of training and generating a classifier is as follows: receiving sample video information, obtaining a number of motion areas as samples through the sample video, extracting the features of these training samples, and manually marking the attributes of these training samples (whether they are smoke areas generated by smoking) , and then use the classifier training algorithm to extract motion features from all motion regions and combine them into motion feature vectors and mark categories, and store them in the classifier.

[0054] The specific steps of the training generation classifier stage are as follows:

[0055...

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Abstract

The invention discloses a cigarette smoke detection method based on computer vision. The method comprises the two stages of classifier generation and cigarette smoke detection. The classifier generation stage comprises the steps of receiving sample video information, extracting a suspected cigarette smoke area through multichannel background subtraction, extracting motion features of the suspected area and combining the extracted motion features into a feature vector training support vector machine. The cigarette smoke detection stage comprises the steps of receiving the video information to be detected, extracting dynamic features of the suspected cigarette smoke area and combining the dynamic features into a feature vector input classifier through the same method used in the classifier generation stage, and judging whether cigarette smoke exists in the suspected area. By means of the cigarette smoke detection method based on computer vision, large-range cigarette smoke detection in a simple scene can be achieved, and smoke control work in a public place is facilitated.

Description

technical field [0001] The invention relates to image processing and video monitoring, in particular to a smoke detection method. Background technique [0002] As we all know, smoking is a bad habit that seriously endangers health, and smoking has become a habit in daily life for smokers. At present, the hazards of smoking have been gradually known to the public, and smoking is prohibited in public places. However, although there are no-smoking reminder signs in public places, smoking can only be banned mainly through the personal control of smokers or the supervision and reminders of supervisors. Manual supervision and control of tobacco requires a lot of manpower, and the complex environment in public places cannot guarantee that supervisors can accurately and timely discover other people's smoking behaviors, which also exposes the social problem that there is still a lack of efficient and convenient means of smoking control in public places. [0003] At present, the smo...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 胡春海苏翔宇刘斌王晓婧
Owner YANSHAN UNIV
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