Optimization of UAV visual tracking based on structure-consistent modeling in complex environments
简介：This paper investigates the challenges of structural inconsistency,matching accuracy degrada-tion,and trajectory interruptions caused by high-speed motion,frequent occlusions,and appearance variations of unmanned aerial vehicle(UAV)targets in low-altitude airspace.A novel UAV visual tracking method is proposed for dynamic structural distortions,with a focus on structural consistency modeling to improve system robustness in complex scenarios.Unlike prior methods such as STARK,which rely on spatio-temporal prediction,and KeepTrack,which emphasize template maintenance,our approach enforces structural-level consistency between historical and current features,thereby addressing UAV-specific issues of rapid maneuvering and environmental complexity.The proposed framework features a structure-aware architecture that incorporates dual complementary mechanisms serving as spatial completion and temporal restoration components.First,a multi-scale structure ex-traction module with adaptive anchor scheduling is developed to dynamically perceive spatial target shape and generate high-quality proposals.Second,a structural memory module is designed to re-construct local regions by leveraging high-confidence historical structural representations,thereby maintaining spatiotemporal coherence across frames.Furthermore,a structural verification mecha-nism coupled with a meta-learning-driven re-identification strategy is introduced to detect abrupt structural distortions and adaptively update templates,significantly improving resilience against dis-turbances.Overall,the main contributions of this paper can be summarized as follows:(1)introdu-cing structural consistency modeling into UAV visual tracking for the first time;(2)designing a uni-fied framework that combines adaptive proposal generation,full-image matching,and re-identifica-tion under structural constraints;and(3)achieving state-of-the-art performance on the anti-UAV benchmark,highlighting the method's practical value in real-world UAV surveillance applications.展开
学者：ZhangQijiaQinDanyangXiao
关键词：adaptive anchor proposalmeta updatertemporal memory bankUAV tracking
在线出版日期：2026-04-17 （网站首发日期）
