DUT Anti-UAV Detection and Tracking

Detection (IEEE-TITS)

• Dataset:

  • Examples:
    
  • Download[GoogleDrive]：train, val, test
  • Download[Baidu]：train[u955], val[wkzs], test[ik4d]

• Results:

Tracking (IEEE-TITS)

• Dataset:
  • Examples:
  • Download[GoogleDrive]：img, gt
  • Download[Baidu]：img[oine], gt[e8mr]
• Results:

Paper

Jie Zhao, Jingshu Zhang, Dongdong Li, Dong Wang. Vision-based Anti-UAV Detection and Tracking. IEEE Transactions on Intelligent Transportation Systems, 2022. [Arxiv]

References

• Detection

  • SSD: Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, Alexander C. Berg.
    "SSD: Single Shot MultiBox Detector." ECCV (2016).
  • Faster R-CNN: Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun.
    "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks." ECCV (2016).
  • Cascade-RCNN: Zhaowei Cai, Nuno Vasconcelos.
    "Cascade R-CNN: Delving Into High Quality Object Detection." CVPR (2018). [paper]
  • ATSS: Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li.
    "Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection." CVPR (2020). [paper]
  • YOLOX: Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun. "YOLOX: Exceeding YOLO Series in 2021." CoRR abs/2107.08430 (2021). [paper]
  • mmdetection：https://github.com/open-mmlab/mmdetection

• Tracking

  • ECO: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg.
    "ECO: Efficient Convolution Operators for Tracking." CVPR (2017). [paper] [code]
  • SiamFC: Luca Bertinetto, Jack Valmadre, Joao F. Henriques, Andrea Vedaldi, Philip H. S. Torr.
    "Fully-Convolutional Siamese Networks for Object Tracking." ECCV (2016). [paper] [code]
  • SiamPRN++: Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan.
    "SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks." CVPR (2019). [paper] [code]
  • ATOM: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg.
    "ATOM: Accurate Tracking by Overlap Maximization." CVPR (2019). [paper] [code]
  • DIMP: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.
    "Learning Discriminative Model Prediction for Tracking." ICCV (2019). [paper] [code]
  • SPLT: Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang.
    "Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking." ICCV (2019). [paper] [code]
  • LTMU: Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang.
    "High-Performance Long-Term Tracking with Meta-Updater." CVPR (2020). [paper] [code]
  • TransT: Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, Huchuan Lu.
    "Transformer Tracking." CVPR (2021). [paper] [code]

Related Papers

• Nan Jiang, Kuiran Wang, Xiaoke Peng, Xuehui Yu, Qiang Wang, Junliang Xing, Guorong Li, Qixiang Ye, Jianbin Jiao, Zhenjun Han, Jian Zhao.
  "Anti-UAV: A Large-Scale Benchmark for Vision-Based UAV Tracking." IEEE Transactions on Multimedia (2022). [paper][project]

• Fredrik Svanstrom, Cristofer Englund, Fernando Alonso-Fernandez.
  "Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors." ICPR (2021). [paper]

• Stamatios Samaras, Diamantidou Eleni, Dimitrios Ataloglou, Nikos Sakellariou, Anastasios Vafeiadis, Vasilis Magoulianitis, Antonios Lalas, Anastasios Dimou, Dimitrios Zarpalas, Konstantinos Votis, Petros Daras, Dimitrios Tzovaras.
  "Deep Learning on Multi Sensor Data for Counter UAV Applications - A Systematic Review." Sensors (2019). [paper]

• Eren Unlu, Emmanuel Zenou, Nicolas Riviere, Paul-Edouard Dupouy.
  "Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors." IPSJ Transactions on Computer Vision and Applications (2019). [paper]

• Ye Wang, Yueru Chen, Jongmoo Choi, C.-C. Jay Kuo.
  "Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks." APSIPA Transactions on Signal and Information Processing (2019) [paper]

Other Datasets & Resources

• Anti-UAV Workshop & Challenge: https://anti-uav.github.io/

• Halmstad Drone Dataset: https://github.com/DroneDetectionThesis/Drone-detection-dataset

• USC Drone Dataset: https://github.com/chelicynly/A-Deep-Learning-Approach-to-Drone-Monitoring