Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), 2016 |
| Pages | 125-135 |
| Number of pages | 11 |
| Volume | 1 |
| Edition | GISTAM |
| ISBN (Electronic) | 978-989-758-188-5 |
| Publication status | Published - 2016 |
| Event | International Conference on Geographical Information Systems Theory, Applications and Management - Rome, Rome, Italy Duration: 25 Apr 2016 → 27 Apr 2016 Conference number: 2 http://gistam.org/ |
Conference
| Conference | International Conference on Geographical Information Systems Theory, Applications and Management |
|---|---|
| Abbreviated title | GISTAM |
| Country | Italy |
| City | Rome |
| Period | 25/04/16 → 27/04/16 |
| Internet address |
Fingerprint
Keywords
- Aerial Images
- Walkable Area Segmentation
- Evacuation Simulation
Cite this
Automated Segmentation of the Walkable Area from Aerial Images for Evacuation Simulation. / Schenk, Fabian; Rüther, Matthias; Bischof, Horst.
Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), 2016. Vol. 1 GISTAM. ed. 2016. p. 125-135.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Automated Segmentation of the Walkable Area from Aerial Images for Evacuation Simulation
AU - Schenk, Fabian
AU - Rüther, Matthias
AU - Bischof, Horst
PY - 2016
Y1 - 2016
N2 - 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 scenarios, shows the feasibility of our approach.
AB - 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 scenarios, shows the feasibility of our approach.
KW - Aerial Images
KW - Walkable Area Segmentation
KW - Evacuation Simulation
M3 - Conference contribution
VL - 1
SP - 125
EP - 135
BT - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), 2016
ER -