Parking lot occupancy detection using computational fluid dynamics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088426" target="_blank" >RIV/61989100:27240/13:86088426 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_72" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_72</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-00969-8_72" target="_blank" >10.1007/978-3-319-00969-8_72</a>
Alternative languages
Result language
angličtina
Original language name
Parking lot occupancy detection using computational fluid dynamics
Original language description
In this paper, we present an algorithm for estimating the occupancy of individual parking spaces. Our method is based on a computer analysis of images obtained by a camera system monitoring the activities on a parking lot. The main idea is to use the a~priori available information about the parking lot geometry and the general shape of common cars to obtain a reliable status of a parking space. We strive to avoid the training phase as much as possible to reduce the time required to bring the system intofully operational state. To achieve this goal, we focus on a probabilistic car model and a physically based feature extraction using computational fluid dynamics. Despite the fact that the very first system of such kind has appeared more than forty years earlier, this area is still an active research topic and a completely satisfactory solution has not been found yet.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013
ISSN
2194-5357
e-ISSN
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Volume of the periodical
226
Issue of the periodical within the volume
2013
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
733-742
UT code for WoS article
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EID of the result in the Scopus database
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