IMC 4 Lab
Intelligent Human Action Recognition for UAV/Drone Scenarios
Multimodal IoT-Enabled Framework
Eng Asif Jamal
Project Overview
A multimodal IoT-enabled framework for human action recognition in UAV/drone-based crowd and multi-person scenarios. The system integrates aerial RGB video with IoT sensor data through deep learning pipelines to recognize human actions from elevated viewpoints, addressing challenges of scale variation, occlusion, and dynamic camera motion in real-time surveillance and search-and-rescue operations.
System Architecture
Inputs
Aerial RGB
IoT Sensors
Processing Pipeline
Scale Handling
Multimodal Fusion
DL Recognition
Outputs
Action Labels
SAR Alerts
Related Publications (1)
Curated from publications by Engr Asif Jamal
2026journal
A novel deep learning-based object detection along semantic segmentation on aerial imagery
PeerJ Computer Science 12, e3648, 2026
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