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Authors: Fabian Schenk ; Matthias Rüther and Horst Bischof

Affiliation: Graz University of Technology, Austria

ISBN: 978-989-758-188-5

Keyword(s): Aerial Images, Walkable Area, Seeded Region Growing, Evacuation Maps, Accessibility.

Abstract: Computer-aided evacuation simulation is a very import preliminary step when planning safety measures for major public events. We propose a novel, efficient and fast method to extract the walkable area from highresolution aerial images for the purpose of evacuation simulation. In contrast to previous work, where the authors only extracted streets and roads or worked on indoor scenarios, we present an approach to accurately segment the walkable area of large outdoor areas. For this task we use a sophisticated seeded region growing (SRG) algorithm incorporating the information of digital surface models, true-orthophotos and inclination maps calculated from aerial images. Further, we introduce a new annotation and evaluation scheme especially designed for assessing the segmentation quality of evacuation maps. An extensive qualitative and quantitative evaluation, where we study various combinations of SRG methods and parameter settings by the example of different real-world scenar ios, shows the feasibility of our approach. (More)

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Paper citation in several formats:
Schenk, F.; Rüther, M. and Bischof, H. (2016). Automated Segmentation of the Walkable Area from Aerial Images for Evacuation Simulation.In Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-188-5, pages 125-135. DOI: 10.5220/0005868601250135

@conference{gistam16,
author={Fabian Schenk. and Matthias Rüther. and Horst Bischof.},
title={Automated Segmentation of the Walkable Area from Aerial Images for Evacuation Simulation},
booktitle={Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2016},
pages={125-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005868601250135},
isbn={978-989-758-188-5},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Automated Segmentation of the Walkable Area from Aerial Images for Evacuation Simulation
SN - 978-989-758-188-5
AU - Schenk, F.
AU - Rüther, M.
AU - Bischof, H.
PY - 2016
SP - 125
EP - 135
DO - 10.5220/0005868601250135

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