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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

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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 - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8; ISSN 2184-4321, 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 - Volume 1: VISAPP, (VISIGRAPP 2014)},
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 - Volume 1: VISAPP, (VISIGRAPP 2014)
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

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