This project implements a full drone detection and tracking pipeline on two UAV test videos.
Drones are detected frame-by-frame using a deep learning object detector, and their positions
are tracked across frames using a Kalman filter. The final output is an annotated video per
input showing the detector bounding box and a 2D trajectory polyline superimposed on the footage.
Dataset & Detector… See the full description on the dataset page: https://huggingface.co/datasets/AmiriHayes/DS681_Assignment_2.
