A multi-scale dense crowd counting method

A technology of dense crowd and counting method, applied in the field of aerial surveillance, can solve problems such as difficulty in counting, and achieve the effect of improving counting accuracy and improving cognitive ability

Active Publication Date: 2019-06-28
BEIHANG UNIV
View PDF10 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to the different shooting angles and flight heights of drones, the collected pictu

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A multi-scale dense crowd counting method
  • A multi-scale dense crowd counting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to make the technical principles of the present invention more clearly understood, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0033] In the existing technology, due to the different shooting angles and flight heights of drones, the collected picture data of dense crowds has multi-scale and multi-view problems, which makes counting difficult. The invention provides a multi-scale dense crowd counting method, which can be used for crowd counting in scenes during aircraft flight, and has great significance for subsequent tasks such as safety monitoring, crowd management, and information analysis.

[0034] First, mark the dense crowd images of space-based surveillance, and perform preprocessing to obtain training images; then use the multi-level pooling module to reduce the spatial resolution, and obtain a feature map that integrates multi-scale information; then use a fixed-size convolu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a multi-scale dense crowd counting method, and belongs to the field of aviation monitoring. Firstly, collecting data of a dense scene, marking and preprocessing crowd images toserve as training pictures, and then sequentially subjecting the training pictures to convolution operation and a multi-level pooling module to obtain feature maps corresponding to the pictures and fusing with multi-scale information, and using a convolutional layer with a convolution kernel of 1 * 1 step length of 1 to respectively perform positioning information enhancement on each feature mapto obtain the corresponding feature map with enhanced positioning information, and repeatedly using the convolution operation and the multi-level pooling module to fuse each positioning information enhanced feature map, re-positioning the information enhancement to obtain a final feature map, decoding, and gradually recovering the spatial resolution by using a bilinear interpolation method to obtain respective final crowd density map, and carrying out integral summation by using the pixel value in each crowd density map to obtain the final number of people. According to the invention, the counting precision is improved, and a better cognitive ability is provided for a monitoring scene.

Description

technical field [0001] The invention belongs to the field of aerial surveillance, in particular to a multi-scale dense crowd counting method. Background technique [0002] With the exponential growth of the world's population and the resulting urbanization, crowds have gathered more frequently in recent years. In this case, in order to better manage the population and ensure the safety of the population, it is necessary to analyze crowd behavior. Dense crowd counting refers to the calculation of the number of people in crowded scenes, which is to map an input crowd image to the corresponding density map, which is crucial for building higher-level cognitive abilities in crowded scenes. [0003] However, due to the high crowd density in dense crowd scenes, it causes severe occlusion and inconsistent target scales. Manual dense crowd counting methods are time-consuming and labor-intensive. Therefore, it has been proposed to realize space-based autonomous surveillance through ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06T3/40G06T3/60
Inventor 曹先彬罗晓燕张安然
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap