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Dense crowd counting method and device

A technology of dense crowd and counting method, applied in the field of aviation surveillance, can solve the problems of large number of parameters, limited effect, shallow network, etc., and achieve good results

Active Publication Date: 2021-06-04
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, due to the use of multiple different convolutional neural networks in this type of method, there is a large amount of redundancy in the parameters of the multi-channel branches and the features extracted. The corresponding information cannot be fully extracted, which limits its effect to a certain extent

Method used

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Embodiment Construction

[0045] 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 drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. 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.

[0046] The terms "first", "second", "third" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances su...

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Abstract

The present invention provides a method and device for counting dense crowds. By acquiring images to be detected including portraits, the images to be detected are input into a convolutional neural network model to obtain a crowd density map of the image to be detected, and to determine the number of people to be detected according to the crowd density map. The number of people in the image. The above process fully extracts the feature information in the image to be detected, realizes effective crowd counting and density estimation, and brings great convenience to subsequent applications such as safety monitoring and crowd control.

Description

technical field [0001] The invention relates to the technical field of aerial surveillance, in particular to a dense crowd counting method and device. Background technique [0002] With the continuous opening of the country to the use of low-altitude fields in recent years, drones are often used to perform tasks such as auxiliary disaster inspections and special scene surveillance. In these tasks, the statistics and analysis of crowd information is one of the most important links. In many scenes, especially crowded scenes, the number of people and their density distribution in statistical scenes are very important for safety monitoring, emergency warning and intelligence. Many types of tasks such as analysis have an immeasurable role. [0003] In most scenes where crowd counting and density estimation are required, the density of crowds is high, which causes serious occlusion and inconsistent target scales. Early methods generally used detection and regression based method...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06V10/764
CPCG06V20/53G06F18/251G06V10/454G06V10/82G06V10/764G06N3/045G06F18/24143G06N3/08G06F18/213G06F18/253
Inventor 曹先彬甄先通李岩肖泽昊胡宇韬
Owner BEIHANG UNIV
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