17 citations · 82 across the 18 of their papers we have counts for
6 papers · 2 filters
Siamese Anchor Proposal Network for High-Speed Aerial Tracking
Changhong Fu, Ziang Cao, Yiming Li +2
In the domain of visual tracking, most deep learning-based trackers highlight the accuracy but casting aside efficiency. Therefore, their real-world deployment on mobile platforms…
Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization
Fangqiang Ding, Changhong Fu, Yiming Li +2
Current unmanned aerial vehicle (UAV) visual tracking algorithms are primarily limited with respect to: (i) the kind of size variation they can deal with, (ii) the implementation s…
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
Changhong Fu, Fangqiang Ding, Yiming Li +2
Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV). In literature, the advanced discriminative correlation filter (DCF) type trackers generally d…
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization
Yiming Li, Changhong Fu, Fangqiang Ding +2
Most existing trackers based on discriminative correlation filters (DCF) try to introduce predefined regularization term to improve the learning of target objects, e.g., by suppres…
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…
Keyfilter-Aware Real-Time UAV Object Tracking
Yiming Li, Changhong Fu, Ziyuan Huang +2
Correlation filter-based tracking has been widely applied in unmanned aerial vehicle (UAV) with high efficiency. However, it has two imperfections, i.e., boundary effect and filter…