Visitors Localization in Natural Sites Exploiting EgoVision and GPS

Filippo Milotta, Antonino Furnari, Sebastiano Battiato, Maria De Salvo, Giovanni Signorello, Giovanni Farinella

Abstract

Localization in outdoor contexts such as parks and natural reserves can be used to augment the visitors’ experience and to provide the site manager with valid analytics to improve the fruition of the site. In this paper, we address the problem of visitors localization in natural sites by exploiting both egocentric vision and GPS data. To this aim, we gathered a dataset of first person videos in the Botanical Garden of the University of Catania. Along with the videos, we also acquired GPS coordinates. The data have been acquired by 12 different users, each walking all around the garden for an average of 30 minutes (i.e., a total of about 6 hours of recording). Using the collected dataset, we show that localizing visitors based solely on GPS data is not sufficient to understand the location of the visitors in a natural site. We hence investigate how to exploit visual data to perform localization by casting the problem as the one of classifying images among the different contexts of the natural site. Our investigation highlights that visual information can be leveraged to achieve better localization and that Egocentric Vision and GPS can be exploited jointly to improve accuracy.

Download


Paper Citation


in Harvard Style

Milotta F., Furnari A., Battiato S., De Salvo M., Signorello G. and Farinella G. (2019). Visitors Localization in Natural Sites Exploiting EgoVision and GPS.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-354-4, pages 556-563. DOI: 10.5220/0007484205560563


in Bibtex Style

@conference{visapp19,
author={Filippo Milotta and Antonino Furnari and Sebastiano Battiato and Maria De Salvo and Giovanni Signorello and Giovanni Farinella},
title={Visitors Localization in Natural Sites Exploiting EgoVision and GPS},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2019},
pages={556-563},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007484205560563},
isbn={978-989-758-354-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Visitors Localization in Natural Sites Exploiting EgoVision and GPS
SN - 978-989-758-354-4
AU - Milotta F.
AU - Furnari A.
AU - Battiato S.
AU - De Salvo M.
AU - Signorello G.
AU - Farinella G.
PY - 2019
SP - 556
EP - 563
DO - 10.5220/0007484205560563