Intelligent Crowd Monitoring and Early Warning Framework for Stampede Prevention Using YOLOv8m and CNN-LSTM Architecture
Railway stations, religious events, and other large public gatherings are prone to overcrowding, sometimes resulting in stampede situations. The existing systems for monitoring crowds primarily rely on manual monitoring, which prevents them from producing early warnings for potentially dangerous situations. In this pap...