loading
Documents

Research.Publish.Connect.

Paper

Authors: D. Di Mauro 1 ; A. Furnari 1 ; G. Patanè 2 ; S. Battiato 1 and G. M. Farinella 1

Affiliations: 1 Department of Mathematics and Computer Science, University of Catania, Catania and Italy ; 2 Park Smart s.r.l., Catania and Italy

ISBN: 978-989-758-319-3

Keyword(s): Counting, Deep Learning, Classification, Object Detection, Smart Cities.

Abstract: The world-wide growth of population in urban areas demands for the development of sustainable technologies to manage city services, such as transportation, in an efficient way. Motivated by the cost-effectiveness of image-based solutions, in this paper we investigate the exploitation of techniques based on image classification and object detection to count cars and non-empty stalls in parking areas. The analysis is performed on a dataset of images collected in a real parking area. Results show that techniques based on image classification are very effective when parking stalls are delimited by marking lines and the geometry of the scene is known in advance.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.232.124.77

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Di Mauro, D.; Furnari, A.; Patanè, G.; Battiato, S. and M. Farinella, G. (2018). A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: ICETE, ISBN 978-989-758-319-3, pages 328-336. DOI: 10.5220/0006851404940502

@conference{icete18,
author={D. Di Mauro. and A. Furnari. and G. Patanè. and S. Battiato. and G. M. Farinella.},
title={A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: ICETE,},
year={2018},
pages={328-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006851404940502},
isbn={978-989-758-319-3},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: ICETE,
TI - A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces
SN - 978-989-758-319-3
AU - Di Mauro, D.
AU - Furnari, A.
AU - Patanè, G.
AU - Battiato, S.
AU - M. Farinella, G.
PY - 2018
SP - 328
EP - 336
DO - 10.5220/0006851404940502

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.