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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F13%3A86088426%21RIV14-MSM-27240___
rdf:type
skos:Concept n14:Vysledek
rdfs:seeAlso
http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_72
dcterms: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.
dcterms:title
Parking lot occupancy detection using computational fluid dynamics Parking lot occupancy detection using computational fluid dynamics
skos:prefLabel
Parking lot occupancy detection using computational fluid dynamics Parking lot occupancy detection using computational fluid dynamics
skos:notation
RIV/61989100:27240/13:86088426!RIV14-MSM-27240___
n14:predkladatel
n15:orjk%3A27240
n4:aktivita
n13:S
n4:aktivity
S
n4:cisloPeriodika
2013
n4:dodaniDat
n6:2014
n4:domaciTvurceVysledku
n16:7748078
n4:druhVysledku
n17:J
n4:duvernostUdaju
n10:S
n4:entitaPredkladatele
n9:predkladatel
n4:idSjednocenehoVysledku
95395
n4:idVysledku
RIV/61989100:27240/13:86088426
n4:jazykVysledku
n20:eng
n4:klicovaSlova
occupancy detection; parking lot; vision-based surveillance; image analysis
n4:klicoveSlovo
n5:occupancy%20detection n5:parking%20lot n5:vision-based%20surveillance n5:image%20analysis
n4:kodStatuVydavatele
CH - Švýcarská konfederace
n4:kontrolniKodProRIV
[3ED85669EC76]
n4:nazevZdroje
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013
n4:obor
n18:IN
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:rokUplatneniVysledku
n6:2013
n4:svazekPeriodika
226
n4:tvurceVysledku
Fabián, Tomáš
s:issn
2194-5357
s:numberOfPages
10
n7:doi
10.1007/978-3-319-00969-8_72
n19:organizacniJednotka
27240