3 papers
cs.CV2024
Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking
Duy Le Dinh Anh, Kim Hoang Tran, Quang-Thuc Nguyen +1
Despite recent progress, Multi-Object Tracking (MOT) continues to face significant challenges, particularly its dependence on prior knowledge and predefined categories, complicatin…
cs.CV2024
TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT
Duy Le Dinh Anh, Kim Hoang Tran, Ngan Hoang Le
While Multi-Object Tracking (MOT) has made substantial advancements, it is limited by heavy reliance on prior knowledge and limited to predefined categories. In contrast, Generic M…
cs.CV2024
Unifying Global and Local Scene Entities Modelling for Precise Action Spotting
Kim Hoang Tran, Phuc Vuong Do, Ngoc Quoc Ly +1
Sports videos pose complex challenges, including cluttered backgrounds, camera angle changes, small action-representing objects, and imbalanced action class distribution. Existing…