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Source code for an Computer Vision and Deep Learning based algorihtm to detect and tracking UAVs from camera mounted on a flying UAV.

License: BSD 3-Clause "New" or "Revised" License

Python 56.69% Jupyter Notebook 43.27% Shell 0.04%

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Fast-and-Robust-UAV-to-UAV-Detection-and-Tracking

This repository contains the code (in Keras) for "Fast and Robust UAV to UAV Detection and Tracking" by Jing Li.

Citation

@inproceedings{li2016multi,
title={Multi-target detection and tracking from a single camera in Unmanned Aerial Vehicles (UAVs)},
author={Li, Jing and Ye, Dong Hye and Chung, Timothy and Kolsch, Mathias and Wachs, Juan and Bouman, Charles},
booktitle={2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages={4992--4997},
year={2016},
organization={IEEE} }

Content

Requirements
Usage
Results
Contacts

Requirements

anaconda
CUDA >= 10.0
CUDA Driver Version: >=430

Usage

run "demo.sh" to test the example video

Results

Saved under Experiment_Results folder:
.txt file with detected bounding boxes,
videos with groundtruth and detection results

Contacts

[email protected]

Any discussions or concerns are welcomed!

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