Research and Evaluation of Early Warning Models for Crowd Density Monitoring Based on Drones
Hao Li, Yining Liu, Jiongkai Chen, Mingxuan Chen · Frontiers in artificial intelligence and applications · 2022
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.