Spatio-Temporal Feature Aware Vision Transformers for Real-Time Unmanned Aerial Vehicle Tracking

Spatio-Temporal Feature Aware Vision Transformers for Real-Time Unmanned Aerial Vehicle Tracking

Driven by the rapid advancement of Unmanned Aerial Vehicle (UAV) technology, the field of UAV object tracking has witnessed significant progress. This study introduces an innovative single-stream UAV tracking architecture, dubbed NT-Track, which is dedicated to enhancing the efficiency and accuracy...

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Bibliographic Details
Main Authors: Hao Zhang, Hengzhou Ye, Xiaoyu Guo, Xu Zhang, Yao Rong, Shuiwang Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Drones
Subjects:
UAV tracking
temporal relationships
spatial neighborhood feature extraction
transformer network
real-time tracking
Online Access:https://www.mdpi.com/2504-446X/9/1/68
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