An Efficient Visual Servo Tracker For Herd Monitoring By Uav

This article discusses the challenges and importance of using artificial intelligence for UAV-based livestock monitoring in high-altitude and cold regions. It proposes a real-time tracking system using YOLOv7 and Deep SORT algorithms, along with techniques such as optical flow and low confidence trajectory filtering, to improve target detection and tracking in complex scenes. The system was tested on Tibetan yaks in the Qinghai Tibet Plateau and showed promising results.