UAUTrack: Towards Unified Multimodal Anti-UAV Visual Tracking
Qionglin Ren, Dawei Zhang, Chunxu Tian, Dan Zhang

TL;DR
UAUTrack presents a unified multimodal framework for Anti-UAV visual tracking, effectively integrating multiple data modalities with a novel text prompt strategy, achieving state-of-the-art results and balancing accuracy with efficiency.
Contribution
The paper introduces UAUTrack, a novel end-to-end single-stream model that unifies multimodal Anti-UAV tracking and incorporates a text prompt strategy for improved focus.
Findings
Achieves state-of-the-art performance on Anti-UAV datasets.
Balances accuracy and speed effectively across scenarios.
Demonstrates the effectiveness of multimodal data fusion.
Abstract
Research in Anti-UAV (Unmanned Aerial Vehicle) tracking has explored various modalities, including RGB, TIR, and RGB-T fusion. However, a unified framework for cross-modal collaboration is still lacking. Existing approaches have primarily focused on independent models for individual tasks, often overlooking the potential for cross-modal information sharing. Furthermore, Anti-UAV tracking techniques are still in their infancy, with current solutions struggling to achieve effective multimodal data fusion. To address these challenges, we propose UAUTrack, a unified single-target tracking framework built upon a single-stream, single-stage, end-to-end architecture that effectively integrates multiple modalities. UAUTrack introduces a key component: a text prior prompt strategy that directs the model to focus on UAVs across various scenarios. Experimental results show that UAUTrack achieves…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsVideo Surveillance and Tracking Methods · UAV Applications and Optimization · Advanced Technologies in Various Fields
