Detail publikace

Moving Object Detection in Video Sequences using Modified Mixture of Gaussians

ŠMIRG, O. MÍČA, I.

Originální název

Moving Object Detection in Video Sequences using Modified Mixture of Gaussians

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

This paper discusses the possibilities of moving object detection in video sequences with statical background. For the purpose of detection, the Gaussian mixture algorithm has been modified. The essence of this computer vision method consists in the background image modelling and with subsequent detection of such pixels that are varying compared with the created model. The algorithm has been implemented in Java programing language to test its capability of real time detection using common web cameras.

Klíčová slova

Mixture of Gaussians, Running Gausian Average, detection, classification, separation

Autoři

ŠMIRG, O.; MÍČA, I.

Rok RIV

2008

Vydáno

30. 12. 2008

Nakladatel

GESTS

Místo

Korea

ISSN

1738-6438

Periodikum

International Transaction on Computer Science and Engineering

Ročník

2008

Číslo

1

Stát

Korejská republika

Strany od

117

Strany do

125

Strany počet

9

BibTex

@article{BUT47094,
  author="Ondřej {Šmirg} and Ivan {Míča}",
  title="Moving Object Detection in Video Sequences using Modified Mixture of Gaussians",
  journal="International Transaction on Computer Science and Engineering",
  year="2008",
  volume="2008",
  number="1",
  pages="117--125",
  issn="1738-6438"
}