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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

Aerial RGB
IoT Sensors
Scale Handling
Multimodal Fusion
DL Recognition
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

M Abdelhaq, A Naseer, R Alsaqour, A Jalal, MA Jamal, A Nadeem, J Kim

PeerJ Computer Science 12, e3648, 2026

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