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We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright [yyyy] [name of copyright owner] 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DUT Anti-UAV Detection and Tracking 2 | 3 | # Detection (IEEE-TITS) 4 | * **Dataset:** 5 | * Examples: 6 | ![avatar](https://github.com/wangdongdut/Anti-UAV-Detection-Tracking/blob/master/AntiUAVDetection.jpg) 7 | * Download[GoogleDrive]：[train](https://drive.google.com/open?id=1RVsSGPUKTdmoyoPTBTWwroyulLek1eTj), [val](https://drive.google.com/open?id=1333uEQfGuqTKslRkkeLSCxylh6AQ0X6n), [test](https://drive.google.com/open?id=1L1zeW1EMDLlXHClSDcCjl3rs_A6sVai0) 8 | * Download[Baidu]：[train](https://pan.baidu.com/s/1-ogC7P_K6lwYAqIS8bgIUQ )[u955], [val](https://pan.baidu.com/s/15sekmPn0hYNQS05Makbmtw )[wkzs], [test](https://pan.baidu.com/s/1GiA-bKlvMSBkzUwYvo-RiA)[ik4d] 9 | 10 | * **Results:** 11 | 12 | # Tracking (IEEE-TITS) 13 | * **Dataset:** 14 | * Examples: 15 | * Download[GoogleDrive]：[img](https://drive.google.com/open?id=1dlSPDggg6TRFMcC1jlYIJxxzUQS1mIh9), [gt](https://drive.google.com/open?id=16PE3tBhT0lUGZLA8-zIRYvNUvxfhFZJq) 16 | * Download[Baidu]：[img](https://pan.baidu.com/s/1OTExqKgvUnqpENtTDu_gGQ)[oine], [gt](https://pan.baidu.com/s/1nkGNERDVgmYIAiwFTdj2xA )[e8mr] 17 | * **Results:** 18 | 19 | # Paper 20 | **Jie Zhao, Jingshu Zhang, Dongdong Li, Dong Wang. Vision-based Anti-UAV Detection and Tracking. IEEE Transactions on Intelligent Transportation Systems, 2022. [[Arxiv](https://arxiv.org/abs/2205.10851)]** 21 | 22 | 23 | # References 24 | 25 | * **Detection** 26 | * **SSD: Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, Alexander C. Berg.**
27 | **"SSD: Single Shot MultiBox Detector." ECCV (2016).** 28 | * **Faster R-CNN: Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun.**
29 | **"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks." ECCV (2016).** 30 | * **Cascade-RCNN: Zhaowei Cai, Nuno Vasconcelos.**
31 | **"Cascade R-CNN: Delving Into High Quality Object Detection." CVPR (2018).** 32 | [[paper](https://openaccess.thecvf.com/content_cvpr_2018/papers/Cai_Cascade_R-CNN_Delving_CVPR_2018_paper.pdf)] 33 | * **ATSS: Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li.**
34 | **"Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection." CVPR (2020).** 35 | [[paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_Bridging_the_Gap_Between_Anchor-Based_and_Anchor-Free_Detection_via_Adaptive_CVPR_2020_paper.pdf)] 36 | * **YOLOX: Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun.** 37 | **"YOLOX: Exceeding YOLO Series in 2021." CoRR abs/2107.08430 (2021).** 38 | [[paper](https://arxiv.org/abs/2107.08430)] 39 | * **mmdetection：https://github.com/open-mmlab/mmdetection** 40 | 41 | * **Tracking** 42 | * **ECO: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg.**
43 | **"ECO: Efficient Convolution Operators for Tracking." CVPR (2017).** 44 | [[paper](https://openaccess.thecvf.com/content_cvpr_2017/papers/Danelljan_ECO_Efficient_Convolution_CVPR_2017_paper.pdf)] 45 | [[code](https://github.com/visionml/pytracking)] 46 | * **SiamFC: Luca Bertinetto, Jack Valmadre, Joao F. Henriques, Andrea Vedaldi, Philip H. S. Torr.**
47 | **"Fully-Convolutional Siamese Networks for Object Tracking." ECCV (2016).** 48 | [[paper](https://arxiv.org/pdf/1606.09549.pdf)] 49 | [[code](https://github.com/HonglinChu/SiamTrackers)] 50 | * **SiamPRN++: Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan.**
51 | **"SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks." CVPR (2019).** 52 | [[paper](https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_SiamRPN_Evolution_of_Siamese_Visual_Tracking_With_Very_Deep_Networks_CVPR_2019_paper.pdf)] 53 | [[code](https://github.com/STVIR/pysot)] 54 | * **ATOM: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg.**
55 | **"ATOM: Accurate Tracking by Overlap Maximization." CVPR (2019).** 56 | [[paper](https://openaccess.thecvf.com/content_CVPR_2019/papers/Danelljan_ATOM_Accurate_Tracking_by_Overlap_Maximization_CVPR_2019_paper.pdf)] 57 | [[code](https://github.com/visionml/pytracking)] 58 | * **DIMP: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.**
59 | **"Learning Discriminative Model Prediction for Tracking." ICCV (2019).** 60 | [[paper](https://openaccess.thecvf.com/content_ICCV_2019/papers/Bhat_Learning_Discriminative_Model_Prediction_for_Tracking_ICCV_2019_paper.pdf)] 61 | [[code](https://github.com/visionml/pytracking)] 62 | * **SPLT: Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang.**
63 | **"Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking." ICCV (2019).** 64 | [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Yan_Skimming-Perusal_Tracking_A_Framework_for_Real-Time_and_Robust_Long-Term_Tracking_ICCV_2019_paper.pdf)] 65 | [[code](https://github.com/iiau-tracker/SPLT)] 66 | * **LTMU: Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang.**
67 | **"High-Performance Long-Term Tracking with Meta-Updater." CVPR (2020).** 68 | [[paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Dai_High-Performance_Long-Term_Tracking_With_Meta-Updater_CVPR_2020_paper.pdf)] 69 | [[code](https://github.com/Daikenan/LTMU)] 70 | * **TransT: Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, Huchuan Lu.**
71 | **"Transformer Tracking." CVPR (2021).** 72 | [[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Chen_Transformer_Tracking_CVPR_2021_paper.pdf)] 73 | [[code](https://github.com/chenxin-dlut/TransT)] 74 | 75 | # Related Papers 76 | 77 | * Nan Jiang, Kuiran Wang, Xiaoke Peng, Xuehui Yu, Qiang Wang, Junliang Xing, Guorong Li, Qixiang Ye, Jianbin Jiao, Zhenjun Han, Jian Zhao.
78 | `"Anti-UAV: A Large-Scale Benchmark for Vision-Based UAV Tracking."` IEEE Transactions on Multimedia (2022). 79 | [[paper](https://ieeexplore.ieee.org/document/9615243)][[project](https://github.com/ucas-vg/Anti-UAV)] 80 | 81 | * Fredrik Svanstrom, Cristofer Englund, Fernando Alonso-Fernandez.
82 | `"Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors."` ICPR (2021). 83 | [[paper](https://ieeexplore.ieee.org/document/9413241)] 84 | 85 | * Stamatios Samaras, Diamantidou Eleni, Dimitrios Ataloglou, Nikos Sakellariou, Anastasios Vafeiadis, Vasilis Magoulianitis, 86 | Antonios Lalas, Anastasios Dimou, Dimitrios Zarpalas, Konstantinos Votis, Petros Daras, Dimitrios Tzovaras.
87 | `"Deep Learning on Multi Sensor Data for Counter UAV Applications - A Systematic Review."` Sensors (2019). 88 | [[paper](https://www.mdpi.com/1424-8220/19/22/4837)] 89 | 90 | * Eren Unlu, Emmanuel Zenou, Nicolas Riviere, Paul-Edouard Dupouy.
91 | `"Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors."` IPSJ Transactions on Computer Vision and Applications (2019). 92 | [[paper](https://link.springer.com/article/10.1186/s41074-019-0059-x)] 93 | 94 | * Ye Wang, Yueru Chen, Jongmoo Choi, C.-C. Jay Kuo.
95 | `"Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks."` APSIPA Transactions on Signal and Information Processing (2019) 96 | [[paper](https://www.cambridge.org/core/journals/apsipa-transactions-on-signal-and-information-processing/article/towards-visible-and-thermal-drone-monitoring-with-convolutional-neural-networks/B2C49AEA077EE25F895FE84F84F16178)] 97 | 98 | # Other Datasets & Resources 99 | 100 | * **[Anti-UAV Workshop & Challenge](https://anti-uav.github.io/):** https://anti-uav.github.io/ 101 | 102 | * **[Halmstad Drone Dataset](https://github.com/DroneDetectionThesis/Drone-detection-dataset):** https://github.com/DroneDetectionThesis/Drone-detection-dataset 103 | 104 | * **[USC Drone Dataset](https://github.com/chelicynly/A-Deep-Learning-Approach-to-Drone-Monitoring):** https://github.com/chelicynly/A-Deep-Learning-Approach-to-Drone-Monitoring 105 | --------------------------------------------------------------------------------