Auto-Learning Correlation-Filter-Based Target State Estimation for Real-Time UAV Tracking

Auto-Learning Correlation-Filter-Based Target State Estimation for Real-Time UAV Tracking

Most existing tracking methods based on discriminative correlation filters (DCFs) update the tracker every frame with a fixed learning rate. However, constantly adjusting the tracker can hardly handle the fickle target appearance in UAV tracking (e.g., undergoing partial occlusion, illumination vari...

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Bibliographic Details
Main Authors: Ziyang Bian, Tingfa Xu, Junjie Chen, Liang Ma, Wenjing Cai, Jianan Li
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
single object tracking
UAV tracking
correlation filters
target state estimation
auto-learning
Online Access:https://www.mdpi.com/2072-4292/14/21/5299

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