U-ActionNet: Dual-Pathway Fourier Networks With Region-of-Interest Module for Efficient Action Recognition in UAV Surveillance

Unmanned Aerial Vehicles (UAV) have revolutionized human action recognition by offering a bird's-eye perspective, thereby unlocking unprecedented potential for comprehensive support within surveillance systems. This paper presents synergistic strategies for enhancing Human Action Recognition (H...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2024, Vol.12, p.189547-189563
Hauptverfasser:	Monaf Chowdhury, Abdul, Imran, Ahsan, Hasan, Md Mehedi, Ahmed, Riad, Azad, Akm, Alyami, Salem A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy action recognition Attention Autonomous aerial vehicles Cameras Computational efficiency Computational modeling Datasets Deep learning Drones Effectiveness Fast Fourier transformations Fast Fourier transforms FFT Fourier transforms Human activity recognition Human motion Modules Motion perception optimization Real time Servers Surveillance Surveillance systems Target recognition Task complexity tracking Unmanned aerial vehicles video surveillance
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!