loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Imen Masmoudi 1 ; Ali Wali 2 ; Anis Jamoussi 2 and Adel M. Alimi 3

Affiliations: 1 Power’s Mind: Enterprise for Video surveillance Solutions Development, University of Sfax and National Engineering School of Sfax, Tunisia ; 2 University of Sfax and National Engineering School of Sfax, Tunisia ; 3 Power’s Mind: Enterprise for Video surveillance Solutions Development, Tunisia

Keyword(s): Parking, Homography, Adaptive Background Subtraction, SURF, HOG, SVM.

Abstract: The proposed system comes in the context of intelligent parking lots management and presents an approach for vacant parking spots detection and localization. Our system provides a camera-based solution, which can deal with outdoor parking lots. It returns the real time states of the parking lots providing the number of available vacant places and its specific positions in order to guide the drivers through the roads. In order to eliminate the real world challenges, we propose a combination of the Adaptive Background Subtraction algorithm to overcome the problems of changing lighting and shadow effects with the Speeded Up Robust Features algorithm to benefit from its robustness to the scale changes and the rotation. Our approach presents also a new state ”Transition” for the classification of the parking places states.

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 3.145.167.58

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:
Masmoudi, I.; Wali, A.; Jamoussi, A. and Alimi, A. (2014). Vision based System for Vacant Parking Lot Detection: VPLD. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP; ISBN 978-989-758-004-8; ISSN 2184-4321, SciTePress, pages 526-533. DOI: 10.5220/0004730605260533

@conference{visapp14,
author={Imen Masmoudi. and Ali Wali. and Anis Jamoussi. and Adel M. Alimi.},
title={Vision based System for Vacant Parking Lot Detection: VPLD},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP},
year={2014},
pages={526-533},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004730605260533},
isbn={978-989-758-004-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP
TI - Vision based System for Vacant Parking Lot Detection: VPLD
SN - 978-989-758-004-8
IS - 2184-4321
AU - Masmoudi, I.
AU - Wali, A.
AU - Jamoussi, A.
AU - Alimi, A.
PY - 2014
SP - 526
EP - 533
DO - 10.5220/0004730605260533
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic