Multi-person tracking method based on millimeter-wave radar

A millimeter-wave radar, tracking algorithm technology, applied in the direction of radio wave reflection/re-radiation, radio wave measurement system, measurement device, etc., can solve the problems of high complexity, prone to association errors, single, etc., to ensure accuracy And real-time, strong practicability, low cost effect

Active Publication Date: 2020-12-04
SICHUAN CHANGHONG ELECTRIC CO LTD
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the high complexity of MHT and RFS, there are few applications in low-cost miniaturized mmWave radars
[0005] In the existing multi-person target tracking and counting based on millimeter-wave radar, there are the following problems: using a simple global nearest neighbor data association algorithm (Global Nearest Neighbor, GNN), when the targets are relatively dense and there are occlusions between them When using a single tracking a

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
  • Multi-person tracking method based on millimeter-wave radar
  • Multi-person tracking method based on millimeter-wave radar
  • Multi-person tracking method based on millimeter-wave radar

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0029] In order to improve the multi-target tracking accuracy and tracking speed of millimeter-wave radar in practical applications, the present invention proposes a multi-person tracking and counting method based on millimeter-wave radar. The method first generates points from the radar data cube (Data Cube) Cloud data, and then perform agglomeration operation on the point cloud data to obtain the agglomeration points, perform neighbor clustering on all trajectories of the current frame, distinguish easy-to-handle trajectories from difficult-to-handle trajectories according to the clustering results, and use complex The data association algorithm is used for tracking; for the tracks that are easy to handle, a simple data association algorithm is used for tracking; the corresponding track is started and terminated according to the data association situation, and the result of multi-person tracking is finally obtained.

[0030] figure 1 It is the radar signal processing flow pr...

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 relates to the technical field of millimeter-wave radar signal processing, and discloses a multi-person tracking method based on millimeter-wave radar, which is used for improving the multi-target tracking precision and tracking speed of the millimeter-wave radar in practical application. The method comprises the following steps: firstly, generating point cloud data from a millimeter-wave radar data cube, and then classifying tracking difficulties of tracks and condensation points by adopting a track clustering method; adopting a multi-mode tracking method to track tracks with different tracking difficulty degrees by adopting different tracking methods; fusing results of different tracking methods, and carrying out multi-modal trajectory starting and ending according to tracking results. The method is suitable for multi-person tracking.

Description

technical field [0001] The invention relates to the technical field of millimeter wave radar signal processing, in particular to a method for tracking multiple people based on millimeter wave radar. Background technique [0002] Multiple Object Tracking (MOT) technology is a very important basic problem in the fields of computer vision, image processing, radar signal processing, and multi-source data fusion. Multi-person tracking is an important special case of multi-target tracking. Multi-person tracking can calculate the individual movement trajectory and group number of people in the scene. It is an important technology to realize scene perception. It has important applications in human-computer interaction and other fields. [0003] At present, multi-person tracking can be realized through sensors such as optical cameras, infrared cameras, laser radars, and millimeter-wave radars. The multi-person target tracking technology based on optical camera mostly uses deep lear...

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): G06K9/62G01S13/72
CPCG01S13/726G06F18/23G06F18/251G06F18/24
Inventor 崔雄文刘传银周杨李剑鹏冯冬阳万潇
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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