Multimodal Neural Network Framework for Individual and Social Activity Recognition in UAV Surveillance

Understanding human activities in complex social environments from aerial perspectives represents a critical challenge in UAV-based surveillance and autonomous systems. We propose a comprehensive multi-modal framework integrating appearance-based and skeletal feature representations for robust socia...

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Váldodahkkit:	Ishrat Zahra, Hadeel Alsolai, Bayan Alabdullah, Fatimah Alhayan, Ahmad Jalal, Hui Liu
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2026-01-01
Ráidu:	IEEE Access
Fáttát:	Social group activity recognition autonomous aerial vehicles multi-modal features relational graph convolutional network long short-term memory (LSTM) networks spatio-temporal modeling
Liŋkkat:	https://ieeexplore.ieee.org/document/11366633/
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