Large-Scale Crowd Analysis through the Use of Passive Radio Sensing Networks

Clicks: 114
ID: 273613
2020
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The creation of an automatic crowd estimation system capable of providing reliable, real-time estimates of human crowd sizes would be an invaluable tool for organizers of large-scale events, particularly so in the context of safety management. We describe a set of experiments in which we installed a …
Reference Key
s2020sensorslarge-scale Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Denis S;Bellekens B;Kaya A;Berkvens R;Weyn M;;
Journal sensors
Year 2020
DOI
DOI not found
URL
https://www.pubmed.gov/?cmd=Search&term=Abdil%20Kaya
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:32375382 pmc7249162 doi:10.3390/s20092624 stijn denis ben bellekens maarten weyn

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.