Unmanned aerial vehicle based multi-person detection via deep neural network models

Unmanned aerial vehicle based multi-person detection via deep neural network models

IntroductionUnderstanding human actions in complex environments is crucial for advancing applications in areas such as surveillance, robotics, and autonomous systems. Identifying actions from UAV-recorded videos becomes more challenging as the task presents unique challenges, including motion blur,...

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Bibliographic Details
Main Authors: Mohammed Alshehri, Laiba Zahoor, Yahya AlQahtani, Abdulmonem Alshahrani, Dina Abdulaziz AlHammadi, Ahmad Jalal, Hui Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Neurorobotics
Subjects:
unmanned aerial vehicle
neural network models
deep learning
human action recognition
CNN
RNN
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2025.1582995/full
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https://www.frontiersin.org/articles/10.3389/fnbot.2025.1582995/full

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