Vertical monocular passenger flow volume statistical method based on RFCN

A statistical method and passenger flow technology, applied in neural learning methods, calculations, computer components, etc., can solve the problems of inaccurate passenger flow statistics, high requirements for installation conditions, and inability to solve mutual occlusion, so as to avoid occlusion and detection Fast speed, accurate detection effect

Pending Publication Date: 2020-01-14
天津天地伟业机器人技术有限公司
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The commonly used monitoring equipment is limited by the installation location, and the angle is inclined. It can cope with the situation of less passenger flow, but when the passenger flow is dense, it cannot solve the problem of mutual occlusion, resulting in inaccura

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
  • Vertical monocular passenger flow volume statistical method based on RFCN
  • Vertical monocular passenger flow volume statistical method based on RFCN
  • Vertical monocular passenger flow volume statistical method based on RFCN

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] It should be noted that the embodiments in the invention and the features in the embodiments can be combined with each other if there is no conflict.

[0052] In the description of the invention, it should be understood that the terms "center", "vertical", "horizontal", "upper", "lower", "front", "rear", "left", "right", The orientation or positional relationship indicated by "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention The creation and simplification of the description does not indicate or imply that the pointed device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes, and cannot be understood as indicating...

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 provides a vertical monocular passenger flow volume statistical method based on RFCN. A deep learning target detection algorithm based on RFCN is adopted, pedestrians existing in a picture are detected according to real-time picture information obtained by vertically-installed monitoring equipment, the number of the pedestrians in the picture is counted, the positions where the pedestrians are located are located, and therefore passenger flow information is accurately obtained in real time. According to the RFCN-based vertical monocular passenger flow volume statistical method provided by the invention, the ResNet-18 deep convolutional neural network is used as the basis, and the RFCN-based novel deep learning target detection algorithm is adopted, so that the detection speedis high, the real-time performance is high, the detection is accurate, and the actual application requirements are met.

Description

Technical field [0001] The invention belongs to the field of video surveillance, and particularly relates to a vertical monocular passenger flow statistics method based on RFCN. Background technique [0002] With the development and wide application of video surveillance technology, the number of people can be counted based on the video images obtained by the surveillance equipment, which can conveniently, reliably and real-timely count the passenger flow in various places without feeling, and can quickly grasp the dynamics of the passenger flow. The commonly used monitoring equipment is limited by the installation location and the angle is inclined. It can still deal with the situation of small passenger flow. However, when the passenger flow is dense, the mutual blocking problem cannot be solved, resulting in inaccurate passenger flow statistics. In order to solve the occlusion problem, there is also a way to propose binocular vision, but the use of two cameras greatly increase...

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): G06K9/00G06T7/20G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06T7/20G06N3/084G06T2207/10016G06T2207/30196G06V20/53G06V10/25G06N3/045G06F18/2415G06F18/214
Inventor 王志保陈澎祥李森肖萌璐谢自强
Owner 天津天地伟业机器人技术有限公司
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