Publications (9)
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation
Changhong Fu, Bowen Li, Fangqiang Ding +2
Aerial tracking, which has exhibited its omnipresent dedication and splendid performance, is one of the most active applications in the remote sensing field. Especially, unmanned a…
SuperEIO: Self-Supervised Event Feature Learning for Event Inertial Odometry
Peiyu Chen, Fuling Lin, Weipeng Guan +1
Event cameras asynchronously output low-latency event streams, promising for state estimation in high-speed motion and challenging lighting conditions. As opposed to frame-based ca…
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…
DEIO: Deep Event Inertial Odometry
Weipeng Guan, Fuling Lin, Peiyu Chen +1
Event cameras show great potential for visual odometry (VO) in handling challenging situations, such as fast motion and high dynamic range. Despite this promise, the sparse and mot…
All-Day Object Tracking for Unmanned Aerial Vehicle
Bowen Li, Changhong Fu, Fangqiang Ding +2
Visual object tracking, which is representing a major interest in image processing field, has facilitated numerous real world applications. Among them, equipping unmanned aerial ve…
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…