IMC 5 Lab

Intelligent Human Action Recognition for UAV/Drone Scenarios

Multimodal IoT-Enabled Framework

Amir Nadeem

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 (2)

Curated from publications by Aamir Nadeem

2021journal

Automatic human posture estimation for sport activity recognition with robust body parts detection and entropy markov model

A Nadeem, A Jalal, K Kim

Multimedia Tools and Applications 80 (14), 21465-21498, 2021

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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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