Detection of Ankle Position in Human Silhouette in a Video Sequence

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU91302" target="_blank" >RIV/00216305:26220/11:PU91302 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Detection of Ankle Position in Human Silhouette in a Video Sequence

Original language description

This paper discusses the possibilities of trajectory of ankle detection in video sequences. The Mixture of Gaussians algorithm has been used for the purpose of the human silhouette detection and K-mean clustering has been used for remove the noise and shadow, which deform the shape of silhouette. The last part of the system counts the scelet of human body and find out the position of ankle. The result of this article is compared the manualy and automaticaly ankle detection.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

<a href="/en/project/VG20102014033" target="_blank" >VG20102014033: Improvement of risk area security using combined methods for biometrical identification of subjects</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

6th International Conference on Teleinformatics

ISBN

978-80-214-4231-3

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

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Publisher name

VUT

Place of publication

Dolní Morava

Event location

Dolní Morava

Event date

Feb 2, 2011

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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