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Vehicle Detection & Tracking in UAV Imagery

Aerial Surveillance with Semantic Segmentation and Particle Filter

Ahmad Jalal Mujtaba Bisma Rimsha

Project Overview

Aerial surveillance system for real-time vehicle detection and tracking from UAV video using pixel-level semantic segmentation and particle filter tracking. The system segments vehicles from aerial views and maintains robust tracking through occlusions and camera motion, enabling traffic monitoring, disaster assessment, and military reconnaissance.

System Architecture

UAV Video
Semantic Segmentation
Particle Filter
Motion Compensation
Vehicle Tracks
Traffic Stats

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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