Publication result detail

A methods for recognition and separation human body

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

Original Title

A methods for recognition and separation human body

English Title

A methods for recognition and separation human body

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

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.

English abstract

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.

Keywords

ASM, Mixture of Gaussians, Segmentation, Human recognition

Key words in English

ASM, Mixture of Gaussians, Segmentation, Human recognition

Authors

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

RIV year

2011

Released

17.11.2010

ISBN

1213-1539

Periodical

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

Volume

2010

Number

11

State

Czech Republic

Pages from

1

Pages to

6

Pages count

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"
}