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arXiv · 1704.01426

The UMCD Dataset

Danilo Avola·Gian Luca Foresti·Niki Martinel·Daniele Pannone·Claudio Piciarelli
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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.

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Danilo Avola, Gian Luca Foresti, Niki Martinel, Daniele Pannone, Claudio Piciarelli. 2017-04-05. The UMCD Dataset. https://doi.org/10.1109/tsmc.2018.2804766

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