Remote Sensing Surveillance Using Multilevel Feature Fusion and Deep Neural Network

Remote Sensing Surveillance Using Multilevel Feature Fusion and Deep Neural Network

Human action recognition from aerial imagery poses significant challenges due to the dynamic nature of the scenes and the complexity of human movements. In this paper, we present an enhanced system that combines YOLO for human detection with a complete multilevel feature fusion approach to improve r...

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Bibliographic Details
Main Authors: Laiba Zahoor, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Dina Abdulaziz Alhammadi, Ahmad Jalal, Hui Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Human action recognition
object detectors
aerial imaging
body pose
multilevel feature fusion
image analysis
Online Access:https://ieeexplore.ieee.org/document/10890997/
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https://ieeexplore.ieee.org/document/10890997/

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