This project implements a UAV drone detection and tracking pipeline using a deep learning object detector and a Kalman filter. The system detects drones in video frames and tracks their motion across time while visualizing the drone’s trajectory.
The goal of the project is to demonstrate multi-object tracking concepts using probabilistic filtering and modern computer vision models.
The detector used in this… See the full description on the dataset page:
https://huggingface.co/datasets/jli43/drone-detection-frames.
