About: Parking lot occupancy detection using computational fluid dynamics

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_72
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 into fully 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. 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 into fully 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. (en)
Title	Parking lot occupancy detection using computational fluid dynamics Parking lot occupancy detection using computational fluid dynamics (en)
skos:prefLabel	Parking lot occupancy detection using computational fluid dynamics Parking lot occupancy detection using computational fluid dynamics (en)
skos:notation	RIV/61989100:27240/13:86088426!RIV14-MSM-27240___
http://linked.open...avai/predkladatel	Fakulta elektrotechniky a informatiky
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	2013
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Fabián, Tomáš
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	95395
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/13:86088426
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	occupancy detection; parking lot; vision-based surveillance; image analysis (en)
http://linked.open.../riv/klicoveSlovo	occupancy detection parking lot vision-based surveillance image analysis
http://linked.open...odStatuVydavatele	CH - Švýcarská konfederace
http://linked.open...ontrolniKodProRIV	[3ED85669EC76]
http://linked.open...i/riv/nazevZdroje	Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	226
http://linked.open...iv/tvurceVysledku	Fabián, Tomáš
issn	2194-5357
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-00969-8_72
http://localhost/t...ganizacniJednotka	27240

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