Detail publikačního výsledku

A methods for recognition and separation human body

ŠMIRG, O.; SMÉKAL, Z.; ČÍKA, P.; MÍČA, I.

Originální název

A methods for recognition and separation human body

Anglický název

A methods for recognition and separation human body

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

This article discuss about separation moving objects from video scene by Mixture of Gaussian method. The object recognition can be executed using Active Shape Models. We show several practical examples where we have built such models and used them to partially occluded objects, which are in the environment with noise and local moving objects. The article compare Mixture of Gaussian and Running Gaussian Average methods.

Anglický abstrakt

This article discuss about separation moving objects from video scene by Mixture of Gaussian method. The object recognition can be executed using Active Shape Models. We show several practical examples where we have built such models and used them to partially occluded objects, which are in the environment with noise and local moving objects. The article compare Mixture of Gaussian and Running Gaussian Average methods.

Klíčová slova

ASM, Mixture of Gaussians, Segmentation, Human recognition

Klíčová slova v angličtině

ASM, Mixture of Gaussians, Segmentation, Human recognition

Autoři

ŠMIRG, O.; SMÉKAL, Z.; ČÍKA, P.; MÍČA, I.

Rok RIV

2011

Vydáno

17.11.2010

ISSN

1213-1539

Periodikum

Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)

Svazek

2010

Číslo

11

Stát

Česká republika

Strany od

1

Strany do

6

Strany počet

6

BibTex

@article{BUT50532,
  author="Ondřej {Šmirg} and Zdeněk {Smékal} and Petr {Číka} and Ivan {Míča}",
  title="A methods for recognition and separation human body",
  journal="Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)",
  year="2010",
  volume="2010",
  number="11",
  pages="1--6",
  issn="1213-1539"
}