Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers

Tracking a time-varying indefinite number of objects in a video sequence over time remains a challenge despite recent advances in the field. Most existing approaches are not able to properly handle multi-object tracking challenges such as occlusion, in part because they ignore long-term temporal inf...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2023-11, Vol.45 (11), p.12783-12797
Hauptverfasser:	Zhu, Tianyu, Hiller, Markus, Ehsanpour, Mahsa, Ma, Rongkai, Drummond, Tom, Reid, Ian, Rezatofighi, Hamid
Format:	Artikel
Sprache:	eng
Schlagworte:	end-to-end learning Feature extraction Frames (data processing) History Multi-object tracking Multiple target tracking Object recognition Occlusion pedestrian tracking spatio-temporal model Task analysis Tracking transformer Transformers Visualization
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!