# The UMCD Dataset

## TL;DR

The paper introduces the UMCD dataset, a collection of geo-referenced low-altitude UAV video sequences designed for mosaicking and change detection tasks, filling a gap in publicly available datasets.

## Contribution

It provides the first publicly available low-altitude UAV video dataset specifically for mosaicking and change detection research.

## Key findings

- First dataset of its kind for low-altitude UAV mosaicking and change detection
- Includes five diverse reference scenarios
- Enables benchmarking of low-altitude UAV algorithms

## Abstract

In recent years, the technological improvements of low-cost small-scale Unmanned Aerial Vehicles (UAVs) are promoting an ever-increasing use of them in different tasks. In particular, the use of small-scale UAVs is useful in all these low-altitude tasks in which common UAVs cannot be adopted, such as recurrent comprehensive view of wide environments, frequent monitoring of military areas, real-time classification of static and moving entities (e.g., people, cars, etc.). These tasks can be supported by mosaicking and change detection algorithms achieved at low-altitude. Currently, public datasets for testing these algorithms are not available. This paper presents the UMCD dataset, the first collection of geo-referenced video sequences acquired at low-altitude for mosaicking and change detection purposes. Five reference scenarios are also reported.