Search
 
loader loading subjects...
cover
Research and Evaluation of Early Warning Models for Crowd Density Monitoring Based on Drones
Hao Li, Yining Liu, Jiongkai Chen, Mingxuan Chen
391 - 399
10.3233/FAIA220558
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 363: Proceedings of CECNet 2022
Abstract

High-density crowd areas are receiving more and more research attention as a key area of concern for law enforcement agencies. This project focuses on combining emerging drones with crowd monitoring algorithms to build early warning prediction models that can be embedded into the backend systems of relevant departments to provide references for the holding of large events and the control of popular scenic spots.

Download
Creative Commons License
  NODES
INTERN 1
Project 1