About: Using MATLAB for objects tracking in image data.     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 deals with objects discrimination in image data using position prediction. As input data serves video sequences saved on hard disc or live video from camera which is connected to PC. For image processing and object detection are used build-in Matlab functions. Every video frame is preprocessed and converted to binary picture. From binary picture are obtained positions of all detected objects. For prediction of object position in pictures sequence are used principles of Kalman filtration. The filter coefficients are updated after every frame because of object movement and only position in next frame is predicted. Objects discrimination is realised on the matching true and predicted trajectory, when in case of their deviation is object eliminated. This method could be used in guidance system of missile with focal plane array seeker or for missile warning systems.
  • This paper deals with objects discrimination in image data using position prediction. As input data serves video sequences saved on hard disc or live video from camera which is connected to PC. For image processing and object detection are used build-in Matlab functions. Every video frame is preprocessed and converted to binary picture. From binary picture are obtained positions of all detected objects. For prediction of object position in pictures sequence are used principles of Kalman filtration. The filter coefficients are updated after every frame because of object movement and only position in next frame is predicted. Objects discrimination is realised on the matching true and predicted trajectory, when in case of their deviation is object eliminated. This method could be used in guidance system of missile with focal plane array seeker or for missile warning systems. (en)
Title
  • Using MATLAB for objects tracking in image data.
  • Using MATLAB for objects tracking in image data. (en)
skos:prefLabel
  • Using MATLAB for objects tracking in image data.
  • Using MATLAB for objects tracking in image data. (en)
skos:notation
  • RIV/60162694:G43__/10:00422336!RIV11-MO0-G43_____
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(OVUOFVT200802)
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
  • 294791
http://linked.open...ai/riv/idVysledku
  • RIV/60162694:G43__/10:00422336
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Object discrimination; Position prediction; Image processing; Matlab; Kalman filtration. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F0E4F75597B0]
http://linked.open...v/mistoKonaniAkce
  • Bratislava (Slovak republic)
http://linked.open...i/riv/mistoVydani
  • Bratislava (Slovak republic)
http://linked.open...i/riv/nazevZdroje
  • International Conference on Military Technologies and Special technologies ICMT-IDEB 2010
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
  • Polášek, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Faculty of Special Technologies, Alexander Dubček University of Trenčín
https://schema.org/isbn
  • 978-80-8075-454-9
http://localhost/t...ganizacniJednotka
  • G43
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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software