About: An Algorithm for Parking Lot Occupation Detection     Goto   Sponge   NotDistinct   Permalink

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

AttributesValues
rdf:type
Description
  • This paper presents unsupervised vision-based system for parking lot occupancy detection. The proposed method exhibit low computation complexity and use just a few frames per minute. Method is based on three main processing stages. In the first section, raw image acquired by camera system is preprocessed. Shadows in the image are significantly attenuated or completely removed. The image distortion is corrected subsequently. In the following step optimal correspondences between one or more stationary cameras and visible parking places are established. During this process occlusions are taken in account. Finally, a parking place status is evaluated. Acquired information about parking lot occupancy can be served to another system, e.g. intelligent transportation system. Experimental results from both artificial and real scenes show promising results even on quite challenging conditions. Nonetheless a scope for improvement of presented method is given.
  • This paper presents unsupervised vision-based system for parking lot occupancy detection. The proposed method exhibit low computation complexity and use just a few frames per minute. Method is based on three main processing stages. In the first section, raw image acquired by camera system is preprocessed. Shadows in the image are significantly attenuated or completely removed. The image distortion is corrected subsequently. In the following step optimal correspondences between one or more stationary cameras and visible parking places are established. During this process occlusions are taken in account. Finally, a parking place status is evaluated. Acquired information about parking lot occupancy can be served to another system, e.g. intelligent transportation system. Experimental results from both artificial and real scenes show promising results even on quite challenging conditions. Nonetheless a scope for improvement of presented method is given. (en)
Title
  • An Algorithm for Parking Lot Occupation Detection
  • An Algorithm for Parking Lot Occupation Detection (en)
skos:prefLabel
  • An Algorithm for Parking Lot Occupation Detection
  • An Algorithm for Parking Lot Occupation Detection (en)
skos:notation
  • RIV/61989100:27240/08:00021455!RIV11-AV0-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET101940420)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 355608
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/08:00021455
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • shadow removal; image segmentation; vehicle detection; occupancy; parking lot (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6A8192C85BC0]
http://linked.open...v/mistoKonaniAkce
  • Ostrava, Czech Republic
http://linked.open...i/riv/mistoVydani
  • Los Alamitos, CA
http://linked.open...i/riv/nazevZdroje
  • Seventh International Conference on Computer Information Systems and Industrial Management Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Fabián, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000257945400027
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-0-7695-3184-7
http://localhost/t...ganizacniJednotka
  • 27240
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 47 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software