most citedTowards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters

4 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO20204 cited

Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters

Yujie He, Changhong Fu, Fuling Lin +2

Object tracking has been broadly applied in unmanned aerial vehicle (UAV) tasks in recent years. However, existing algorithms still face difficulties such as partial occlusion, clu…

cs.CV2020

Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking

Changhong Fu, Xiaoxiao Yang, Fan Li +3

Correlation filter (CF)-based methods have demonstrated exceptional performance in visual object tracking for unmanned aerial vehicle (UAV) applications, but suffer from the undesi…

cs.CV2020

Training-Set Distillation for Real-Time UAV Object Tracking

Fan Li, Changhong Fu, Fuling Lin +2

Correlation filter (CF) has recently exhibited promising performance in visual object tracking for unmanned aerial vehicle (UAV). Such online learning method heavily depends on the…

cs.CV2019

Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification

Changhong Fu, Ziyuan Huang, Yiming Li +2

Due to implicitly introduced periodic shifting of limited searching area, visual object tracking using correlation filters often has to confront undesired boundary effect. As bound…

cs.CV2019

Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking

Ziyuan Huang, Changhong Fu, Yiming Li +2

Traditional framework of discriminative correlation filters (DCF) is often subject to undesired boundary effects. Several approaches to enlarge search regions have been already pro…