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Authors: Harish Bhaskar ; Naoufel Werghi and Saeed Al-Mansoori

Affiliation: Khalifa University, United Arab Emirates

Keyword(s): Radon transform, Parking space detection, SIFT, Supervised classification, Peak extraction, Filtering, Geometric and spatial constraints.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: In this paper, we describe a method of combining rectangle detection and scale invariant feature transform (SIFT) analysis for empty parking space detection. A parking space in a parking lot is represented as a rectangular region of pixels in an image captured from an aerial camera. Detecting rectangular parking spaces in a new image involves an alternating scheme of extracting peaks from the Radon transform for the whole image and filtering them against specific geometric and spatial constraints. We then compute SIFT descriptors from these detected rectangular parking spaces and further apply supervised classification methods for detecting empty parking spaces. We demonstrate the performance of our model on several synthetic and real data.

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Paper citation in several formats:
Bhaskar, H.; Werghi, N. and Al-Mansoori, S. (2011). RECTANGULAR EMPTY PARKING SPACE DETECTION USING SIFT BASED CLASSIFICATION. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP; ISBN 978-989-8425-47-8; ISSN 2184-4321, SciTePress, pages 214-220. DOI: 10.5220/0003358702140220

@conference{visapp11,
author={Harish Bhaskar. and Naoufel Werghi. and Saeed Al{-}Mansoori.},
title={RECTANGULAR EMPTY PARKING SPACE DETECTION USING SIFT BASED CLASSIFICATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP},
year={2011},
pages={214-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003358702140220},
isbn={978-989-8425-47-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP
TI - RECTANGULAR EMPTY PARKING SPACE DETECTION USING SIFT BASED CLASSIFICATION
SN - 978-989-8425-47-8
IS - 2184-4321
AU - Bhaskar, H.
AU - Werghi, N.
AU - Al-Mansoori, S.
PY - 2011
SP - 214
EP - 220
DO - 10.5220/0003358702140220
PB - SciTePress