Parking Space Verification: Improving Robustness Using A Convolutional Neural Network

Publikation: Forskning - peer reviewKonferenceartikel i proceeding

Abstrakt

With the number of privately owned cars increasing, the issue of locating an available parking space becomes apparant. This paper deals with the verification of vacant parking spaces, by using a vision based system looking over parking areas. In particular the paper proposes a binary classifier system, based on a Convolutional Neural Network, that is capable of determining if a parking space is occupied or not. A benchmark database consisting of images captured from different parking areas, under different weather and illumination conditions, has been used to train and test the system. The system shows promising performance on the database with an accuracy of 99.71% overall and is robust to the variations in parking areas and weather conditions.
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Detaljer

With the number of privately owned cars increasing, the issue of locating an available parking space becomes apparant. This paper deals with the verification of vacant parking spaces, by using a vision based system looking over parking areas. In particular the paper proposes a binary classifier system, based on a Convolutional Neural Network, that is capable of determining if a parking space is occupied or not. A benchmark database consisting of images captured from different parking areas, under different weather and illumination conditions, has been used to train and test the system. The system shows promising performance on the database with an accuracy of 99.71% overall and is robust to the variations in parking areas and weather conditions.
OriginalsprogEngelsk
TitelVISAPP - International Conference on Computer Vision Theory and Applications
Publikationsdato2017
StatusAccepteret/In press - 2017
PublikationsartForskning
Peer reviewJa
BegivenhedInternational Conference on Computer Vision Theory and Applications - Porto, Portugal
Varighed: 27 feb. 20171 mar. 2017
Konferencens nummer: 12
http://www.visapp.visigrapp.org

Konference

KonferenceInternational Conference on Computer Vision Theory and Applications
Nummer12
LandPortugal
ByPorto
Periode27/02/201701/03/2017
Internetadresse

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