Mask wearing condition monitoring system and method based on probabilistic neural network

Abstract

The invention relates to a mask wearing condition monitoring system and method based on a probabilistic neural network, and the system comprises: an input management module which is responsible for the reading and preprocessing of an input video; the target detection and segmentation module that is responsible for detecting and identifying each target in the video and segmenting the pedestrian mask part for detection; the multi-target tracking association module that performs many-to-many association on the detection result in each video in the video; the mask monitoring module that is used for carrying out low confidence coefficient and track discretization after completing preliminary track association; the output module that is arranged at a unified data center node, supports multi-pathcross-camera data output, performs multi-target tracking on each scene, and uniformly converges and outputs a calculation result; the system setting module that is used for configuring training of anetwork model used in the plurality of modules. Technical support is provided for the fields of video monitoring, behavior analysis and the like.

Description

technical field [0001] The invention relates to a monitoring system and method for wearing a mask based on a probabilistic neural network, and belongs to the direction of computer vision video monitoring and reconnaissance informatization construction. Background technique [0002] In recent years, computer vision technology has developed rapidly. With the maturity of video tracking technology, it has played a significant role in practical applications, such as intelligent drone interaction, video surveillance and monitoring, and abnormal event monitoring. It is one of the important foundation and core technologies. Multi-target tracking technology based on video images is a very challenging and attractive basic research direction in the field of computer vision. Although this direction has a wide range of applications in many fields, it is even the technical premise of many research fields, such as behavior analysis, Intelligent transportation, etc. However, due to various...

AI Technical Summary

Problems solved by technology

[0007] The invention technology solves the problem: In order to overcome the difficulty and low efficiency of cross-camera multi-target detection and tracking, it is difficult to systematically query the tracking results of the target of interest, and to perform real-time information feedback and interaction for specific target groups (not wearing masks), etc., A probabilistic neural network-based monitoring system and method for wearing a mask is provided, which comprehensively considers the needs of the test results in actual engineering and the designability of scientific research design, and provides users with specific multi-target tracking. box results, and also provides a fully transparent algorithm design framework for researchers, with adjustable parameters and designable architecture

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