27 citations · 126 across the 18 of their papers we have counts for
4 papers · 1 filter
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
Heng Fan, Fan Yang, Peng Chu +2
Generic visual tracking is difficult due to many challenge factors (e.g., occlusion, blur, etc.). Each of these factors may cause serious problems for a tracking algorithm, and whe…
FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
Peng Chu, Haibin Ling
Data association-based multiple object tracking (MOT) involves multiple separated modules processed or optimized differently, which results in complex method design and requires no…
Clustered Object Detection in Aerial Images
Fan Yang, Heng Fan, Peng Chu +2
Detecting objects in aerial images is challenging for at least two reasons: (1) target objects like pedestrians are very small in pixels, making them hardly distinguished from surr…
Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
Peng Chu, Heng Fan, Chiu C Tan +1
Recent progresses in model-free single object tracking (SOT) algorithms have largely inspired applying SOT to \emph{multi-object tracking} (MOT) to improve the robustness as well a…