jingliinpurdue/fast-and-robust-uav-to-uav-detection-and-tracking

This is a Keras-based UAV video detector and tracker. The primary workflow reads video frames, estimates background motion, extracts candidate patches and motion features, classifies candidates, then tracks detections and writes annotated video and detection text. Ground-truth annotations support evaluation and visualization. The model directories hold appearance, motion, and AdaBoost artifacts used by the workflow. The sampled excerpts show the main loop and several utility implementations, but omit portions of main.py, so uncertain call wiring is left out.