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Automatic detection system and method for monitoring behavior that person does not wear mask based on video

A technology of video surveillance and automatic detection, applied in the fields of instruments, character and pattern recognition, data processing applications, etc., can solve problems such as failure to invest effectively

Active Publication Date: 2020-10-30
BEIHANG UNIV
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Problems solved by technology

However, the automatic detection of people not wearing masks using video surveillance has not been effectively put into practical use, and the application of smart people not wearing masks in public places needs to be developed and put into application as soon as possible to assist in the prevention and control of the epidemic. monitor

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  • Automatic detection system and method for monitoring behavior that person does not wear mask based on video
  • Automatic detection system and method for monitoring behavior that person does not wear mask based on video
  • Automatic detection system and method for monitoring behavior that person does not wear mask based on video

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Embodiment Construction

[0037] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing:

[0038] Such as figure 1 Therefore, the system of the present invention mainly includes:

[0039] Mask wearing detection module: responsible for processing and classifying the pedestrian features of each pixel in each monitoring image captured by the camera to determine whether the pedestrian is wearing a mask. If not wearing a mask, the pedestrian who is not wearing a mask will be The information related to characteristics and identity, that is, the identity characteristics of pedestrians, is uploaded to the global shared information of the external monitoring system;

[0040] Pedestrian flow direction prediction module: use the built-in time recording function and pedestrian re-identification function in the camera to obtain the time interval of different pedestrians appearing under different cameras, based on the pedestrian ID code obtained by ...

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Abstract

The invention relates to an automatic detection system and method for monitoring the behavior that a person does not wear a mask based on a video. The automatic detection system comprises the following five modules: a mask wearing detection module; a pedestrian flow direction prediction module; a regional risk assessment prediction module; an information visualization module; and an alarm reporting module. Behaviors of not wearing the mask are extracted, the flow direction and crowd density are analyzed, and problem-prone areas are analyzed, and automatically reporting and broadcasting promptsfor alarming of pictures without mask wearing behaviors and global display of high-incidence areas.

Description

technical field [0001] The invention relates to an automatic detection system and method based on the behavior of video surveillance personnel not wearing a mask, and belongs to the field of monitoring, early warning and security. Background technique [0002] Under the influence of the new coronavirus epidemic, wearing a mask has become an essential protective measure for travel. Public places such as airports, railway stations, supermarkets, and office buildings will face a huge flow of people. Wearing specifications is not only inefficient but also prone to omissions. Therefore, how to use technologies such as artificial intelligence to help reduce the manpower consumption caused by the supervision of wearing masks in public places and improve the efficiency of inspections is imminent. [0003] At present, the regional scene data information collected by video surveillance is mainly used to extract visual features to complete the tasks of target recognition, fast trackin...

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Application Information

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IPC IPC(8): G06K9/00G06Q50/26
CPCG06Q50/265G06V40/161G06V40/10G06V20/53G06V20/40
Inventor 盛浩胡瀚涛周建伟王帅吴玉彬
Owner BEIHANG UNIV
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