Online Learning-Based Hybrid Tracking Method for Unmanned Aerial Vehicles
Tracking unmanned aerial vehicles (UAVs) in outdoor scenes poses significant challenges due to their dynamic motion, diverse sizes, and changes in appearance. This paper proposes an efficient hybrid tracking method for UAVs, comprising a detector, tracker, and integrator. The integrator combines det...
Main Authors: | Sohee Son, Injae Lee, Jihun Cha, Haechul Choi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/6/3270 |
Similar Items
-
Visual Tracking of Small Unmanned Aerial Vehicles Based on Object Proposal Voting
by: Jin Hong, et al.
Published: (2021-01-01) -
Traffic Monitoring from the Perspective of an Unmanned Aerial Vehicle
by: Ondrej Kainz, et al.
Published: (2022-08-01) -
UAVSwarm Dataset: An Unmanned Aerial Vehicle Swarm Dataset for Multiple Object Tracking
by: Chuanyun Wang, et al.
Published: (2022-05-01) -
An Asymmetric Feature Enhancement Network for Multiple Object Tracking of Unmanned Aerial Vehicle
by: Jianbo Ma, et al.
Published: (2023-12-01) -
A Comprehensive Review for Typical Applications Based Upon Unmanned Aerial Vehicle Platform
by: Yuqi Han, et al.
Published: (2022-01-01)