Detail publikace

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

Jazyk

en

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.

Dokumenty

BibTex


@article{BUT50532,
  author="Ondřej {Šmirg} and Zdeněk {Smékal} and Petr {Číka} and Ivan {Míča}",
  title="A methods for recognition and separation human body",
  annote="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.",
  chapter="50532",
  journal="Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)",
  number="11",
  volume="2010",
  year="2010",
  month="november",
  pages="1--6",
  type="journal article - other"
}