Publication 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
journal article - other
Language
en
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
RIV year
2010
Released
17.11.2010
ISBN
1213-1539
Periodical
Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)
Year of study
2010
Number
11
State
CZ
Pages from
1
Pages to
6
Pages count
6
Documents
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"
}