IMC Lab
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
Inputs
UAV Video
Processing Pipeline
Semantic Segmentation
Particle Filter
Motion Compensation
Outputs
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
PeerJ Computer Science 12, e3648, 2026
View on Scholar

