Monitoring Horses in Stalls: From Object to Event Detection
This study created a prototype vision system using YOLOv11 and BoT-SORT to automatically detect and track horses and people in stables. The system successfully detected horse-related events with high accuracy but struggled to reliably detect people due to limited training data. It establishes a foundation for real-time equine behavioral monitoring.