Subway crowd density estimation method and system based on target detection

A target detection and crowd density technology, applied in computing, computer components, instruments, etc., can solve problems such as unsatisfactory effects, occlusion, missed detection, etc.

CN111832489APending Publication Date: 2020-10-27CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2020-10-27

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Abstract

The invention discloses a subway crowd density estimation method and system based on target detection, and the crowd density estimation method comprises the following steps: firstly carrying out the bounding box labeling of the head of a human body in a manufactured sample library; secondly, introducing a YOLOv3 network, converting receptive fields of three scales into receptive fields of two scales by using an up-sampling operation, performing up-sampling on the outputs with different receptive fields, fusing the up-sampled outputs with outputs of the same scale, and taking the fused outputsas a final training network; and finally, determining the ROI of the detection video image frame by using a mask mode. Through human head detection, fusion detection of different scales output by a network and ROI region operation, the problem of mutual shielding among part of human bodies is solved, the problems of subway station building shielding and specular reflection are avoided, and the performance of crowd density estimation is improved.
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Description

technical field

[0001] The invention relates to the technical field of crowd density estimation, in particular to a method for estimating subway crowd density based on target detection. Background technique

[0002] In many cities in our country, the subway has become a means of transportation for more and more people to travel, and there are more and more crowds in subway stations and the phenomenon of non-compliance with normal traffic rules. Video surveillance has become an important way to warn of dangerous events and ensure the safety of the crowd. . Therefore, real-time analysis of the crowd density of subway station video surveillance has important practical significance for urban security.

[0003] Traditional detection methods of people counting rely on manual extraction of low-dimensional features (HOG, Haar features, etc.)

[0004] In recent years, with the in-depth research of deep convolutional neural network (CNN) by scholars, a method for estimating crowd de...

Examples

Embodiment Construction

[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are part of the present invention Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0048]In the method for estimating crowd density of the present invention, the prepared sample library containing bounding boxes marked by human heads is used, and the improved YOLOv3 network with fusion of two scales is used to obtain the estimated value of crowd density in the ROI area through mask operation.

[0049] Concrete implementation steps of the present invention are a...