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Anti-UAV: A Large-Scale Benchmark for Vision-Based UAV Tracking
- Source :
- IEEE Transactions on Multimedia. 25:486-500
- Publication Year :
- 2023
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2023.
-
Abstract
- Unmanned Aerial Vehicles (UAV) have many applications in both commerce and recreation. However, irresponsibly operated UAVs will pose a threat to public safety. Therefore, developing our understanding of UAVs and their uses is of particular interest. This paper considers tracking UAVs, which provide multifaceted information around location, paths and trajectories. To facilitate research on this topic, we introduce a new benchmark, herein referred to as Anti-UAV, which provides a novel direction for UAV tracking with more than 300 video pairs containing over 580k manually annotated bounding boxes. Addressing anti-UAV research challenges could help to design anti-UAV systems, which in turn may improve surveillance. Accordingly, we have proposed a simple yet effective approach, called dual-flow semantic consistency (DFSC) is proposed for UAV tracking. Modulated by the semantic flow across video sequences, tracker learns more robust class-level semantic information and obtains more discriminative instance-level features. Experiments highlight significant performance gain with the proposed approach over state-of-the-art trackers and the challenging aspects of Anti-UAV. The Anti-UAV benchmark and the code for the proposed approach have been made publicly available at https://github.com/ucas-vg/Anti-UAV.
- Subjects :
- SIMPLE (military communications protocol)
BitTorrent tracker
Computer science
Real-time computing
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Tracking (particle physics)
ComputingMethodologies_ARTIFICIALINTELLIGENCE
Computer Science Applications
Discriminative model
Bounding overwatch
Signal Processing
Media Technology
Benchmark (computing)
Code (cryptography)
ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS
Electrical and Electronic Engineering
Scale (map)
Subjects
Details
- ISSN :
- 19410077 and 15209210
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Multimedia
- Accession number :
- edsair.doi...........742e3b54f2e0bc5a1defc49fe715a8ea